Mukesh Yadav Pyatla

Project Title: UBS DevCloud – Cloud DevOps Automation.

Project Description:

Working on UBS DevCloud, an integrated DevOps platform designed to streamline software development and deployment on Microsoft Azure. Responsible for automating CI/CD pipelines, managing cloud infrastructure using Terraform, and implementing monitoring solutions with Prometheus and Grafana. Optimized Kubernetes workloads with Helm and AKS, ensuring high availability, and scalability. Enhanced security through IAM policies and vulnerability management. Collaborated with cross-functional teams to improve DevOps processes, reducing deployment times, and operational costs.

Responsibilities:

• Written various automation scripts to automate manual tasks, deploy applications, and create application build scripts/versioning, etc.
• Using many popular open-source libraries with different languages, like Shell and Python-based scripting.
• Managing IAM (Identity Access Management) on the Azure portal to give access to developers or groups.
• Used Helm charts to integrate the application with GCP using different ports, and it contains service, deployment, and ingress files in YAML.
• Implemented Infrastructure as Code (IaC) using Terraform and Azure Resource Manager (ARM) templates for the automated provisioning of cloud infrastructure.
• Implemented Prometheus for monitoring and alerting, collecting metrics from various applications and services to ensure system performance and reliability.
• Used Azure DNS zone to maintain URLs.
• I bought an open networks DNS zone for the application.
• Collaborated with development and testing teams to streamline the release management process.
• Set up the Linux cron jobs to automate various build-related and application data synchronization jobs.
• Experienced in Azure DevOps Continuous Integration and Continuous Delivery, Azure DevOps.
• Experience in writing Terraform scripts from the ground up for developing, staging, production, and disaster recovery for cloud infrastructure.
• Designed and optimized Kubernetes (K8s) deployments on Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE) using Helm charts and YAML-based configurations.
• Automated infrastructure provisioning on GCP using Terraform, enabling seamless deployment, and high availability.
• Designed and implemented end-to-end CI/CD pipelines using GitHub Actions to automate the build, test, and deployment processes for multiple microservices, reducing deployment times by 50%.
• Configured GCP Cloud Networking with VPC peering, firewall rules, and hybrid cloud connectivity for secure data transfer
• Enforced Identity and Access Management (IAM) policies across Microsoft Azure and Google Cloud Platform (GCP) to strengthen security and access controls
• Integrated Java applications with third-party systems and services using libraries such as Apache Camel and Spring Integration, facilitating seamless data exchange and interoperability across heterogeneous environments
• Designed robust and scalable ML pipelines within AzureML, leveraging its orchestration capabilities to automate end-to-end data processing, model training, validation, and deployment workflows
• Maintained JIRA for tracking and updating project defects and tasks
• Managed multi-cloud infrastructure across AWS, GCP, and Azure, optimizing cloud resource allocation and implementing Cloud FinOps strategies
• Created and maintained Grafana dashboards for real-time monitoring of Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE) clusters.Designed and deployed Kubernetes workloads on GCP’s GKE, integrating with Helm charts for automated deployment and scaling
• Implemented Cloud FinOps strategies to track and optimize Azure cloud costs, leveraging cost analysis tools to reduce waste and improve resource allocation efficiency
• Integrated Prometheus, node-exporter, and custom exporters for monitoring cloud infrastructure metrics and OpenStack components
• Designed detailed infrastructure and CI/CD workflow diagrams using Microsoft Visio, improving deployment documentation and collaboration across teams
• Automated daily reporting on cluster health using VictoriaMetrics, generating insights on OpenStack and WebScale environments
• Experienced in automating AKS infrastructure provisioning and management using tools like Terraform or Azure Resource Manager (ARM) templates, reducing manual intervention and ensuring consistency
• Experience in creating and designing the Terraform templates to create custom sized Resource groups, Kubernetes cluster, Container, blob storages, IOT hub, Event hub
• Infrastructure as a code deployment of Web application templates to secure the environment
• Developed PromQL-based alerts to detect anomalies in Kubernetes, networking, and cloud infrastructure, integrating them with incident response workflows.
• Designed and optimized Grafana dashboards for multi-cloud observability (AWS, Azure, GCP), improving troubleshooting efficiency by 40%.
• Developed CI/CD pipelines for GCP-based applications, reducing deployment time by 40%.
• Configured Grafana alerts based on defined thresholds, ensuring timely notifications for critical system events, and performance issues.
• Experienced in optimizing Kafka cluster performance by fine-tuning broker, topic, and partition configurations, optimizing message throughput, latency, and resource utilization to maximize efficiency, and cost-effectiveness.
• Configured and managed AKS clusters, including node scaling, cluster upgrades, networking, monitoring, and security policies to meet organizational requirements
• Configured CoreDNS monitoring within Kubernetes clusters, identifying and mitigating DNS resolution issues using PromQL-based dashboards
• Conducted security assessments and vulnerability scans of ML infrastructure and pipelines, implementing security best practices and remediation measures to mitigate risks and vulnerabilities
• Created complex dashboards to monitor system performance and track key metrics
• Implemented advanced search queries using Kibana Query Language (KQL) to filter and aggregate log data effectively
• Built custom Grafana dashboards linking system performance metrics with storage metrics for deeper visibility into application performance
• Worked with various data sources and indices within Kibana to analyze logs from multiple systems simultaneously
• Implemented robust backup and disaster recovery strategies for Kafka data using tools like Mirror Maker, ensuring data integrity, high availability, and resilience against data loss or cluster failures
• Collaborated with cross-functional teams to optimize existing Golang applications, enhancing performance and scalability
• Automated SonarQube scans using Terraform-based provisioning to maintain code quality across development and production environments
• Developed and maintained GitOps-based continuous delivery pipelines using Argo CD to ensure automated and consistent deployment of Kubernetes applications
• Implemented auto-scaling strategies for Kubernetes workloads based on custom metrics, ensuring optimal resource allocation and cost efficiency
• Expertise in containerizing applications using Docker and deploying them to AKS clusters, optimizing container images for performance and resource efficiency
• Prepared capacity and architecture plan to create the Azure Cloud environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases
• Designed and implemented CI/CD pipelines using Concourse CI, enabling automated build, test, and deployment processes for applications
• Collaborate to development of main Web Applications to provide invoicing emission services, Responsible of web application deployments over cloud services on Azure, using VS and PowerShell
• Migrated SQL Server databases to SQL Azure Database using SQL Azure Migration Wizard and used Python API to upload agent logs into Azure blob storage
• Configured SonarQube rules to enforce coding standards and security best practices, reducing critical vulnerabilities by 30%
• Worked on Power Shell scripts to automate the Azure cloud system creation of Resource groups, Web Applications, Azure Storage Blobs & Tables, firewall rules
• Updated software upon release of vendor patches to mitigate vulnerabilities.
• Participated in disaster recovery exercises to test reliability of system.
• Designed software for real-time operating systems QNX, ThreadX and others.
• Leveraged Agile methodologies to move development lifecycle rapidly through initial prototyping to enterprise-quality testing and final implementation.
• Maintained version control systems such as GitLab for all software development projects.
• Developed procedures to automate code builds and deployments.
• Obtained and evaluated information on hardware configuration costs, reporting requirements and security needs.
• Managed infrastructure components including virtual machines, storage devices, networks.
• Troubleshooted technical issues related to .NET development.
• Created CI and CD pipelines with Jenkins and Docker to automate the build process of applications.
• Deployed and supported infrastructure automation and configuration management tools.
• Monitored system health using Nagios and Splunk for early detection of issues.
• Applied security measures into systems development, supporting final products' resistance to intrusion and exploitation.
• Configured, managed, and monitored cloud-based services such as AWS EC2, S3, EBS, ELB, RDS using Terraform and Ansible.
• Set up monitoring tools like Graphite and Grafana to track performance metrics.
• Deployed microservices on Kubernetes clusters in order to increase scalability and availability of services across multiple regions.
• Implemented containerization technologies such as Docker and Kubernetes for faster delivery cycles.

Environment: Azure, IaaS, PaaS, Terraform, Python, Auto-scaling, CloudFormation, Json, YAML, Java, C#, Docker, Kubernetes, Gitlab, SonarQube, Nexus, Maven, MYSQL, Azure Resource Groups, IOT HUB, Terraform, nginx, Windows and IAM, Azure Active Directory (Azure AD), GCP IAM, AWS IAM, Role-Based Access Control (RBAC), MFA.

Project Title: Cloud-Native DevOps for Financial Data Analytics.

Project Description:

Implemented a scalable DevOps framework for Affinity Solutions to manage high-volume financial transaction data on AWS. Automated infrastructure provisioning using Terraform, and optimized CI/CD pipelines with GitHub Actions for seamless deployment. Deployed containerized Microservices on Amazon EKS with Argo CD for real-time data processing. Enhanced security using IAM policies, GuardDuty, and encryption to ensure compliance with financial regulations. Monitored performance using Prometheus and Grafana, ensuring high availability, and cost efficiency.

Responsibilities:

• Researching and adopting latest cloud-based data to migrate an on-prem computer assisted coding solution to AWS
• Developing and maintaining scalable AWS resources utilizing Infrastructure as code paradigm
• Maintains active relationships with customers to determine business requirements and leads requirements gathering meetings
• Developed advanced Grafana dashboards for monitoring AWS EKS and GCP GKE environments, integrating logs from Elasticsearch
• Implemented a hybrid cloud deployment model spanning AWS, GCP, and on-prem infrastructure, ensuring high availability
• Integrated GitHub Actions with Terraform to automate Infrastructure as Code (IaC) workflows, ensuring consistent and reliable infrastructure provisioning across multiple environments
• Implemented SonarQube for code quality monitoring in a high-volume financial data analytics platform, improving compliance with industry standards like SOC2 and PCI-DSS
• Implemented PromQL-based alerting to track key Kubernetes namespace, pod, and container metrics, ensuring optimal performance
• Created custom exporters (lldp-exporter, ethtool-exporter, redfish-exporter) to extract metrics from networking and hardware components
• Integrated version control systems (e.g., Git) with machine learning repositories and model registries to track changes, manage model versions, and ensure reproducibility in model training and deployment
• Managed user accounts, file systems, permissions, and security settings, ensuring the integrity, availability, and security of Linux-based environments
• Integrated SonarQube with GitHub Actions for automated scanning of microservices deployed on AWS EKS, ensuring security vulnerabilities were addressed in real-time
• Built GitOps-driven Grafana dashboards for self-service access to operational insights
• Automated daily cluster status reports using VictoriaMetrics report generation to track resource utilization and alert teams on anomalies
• Configured GCP IAM roles and security policies, ensuring SOC2 compliance and secure access to cloud resources
• Developed custom visualizations and reports in Grafana, tailoring dashboards to meet the specific needs of different stakeholders
• Integrated Prometheus and VictoriaMetrics to collect, store, and analyze metrics from OpenStack and WebScale environments
• Designed Infrastructure as Code (IaC) pipelines using Terraform and AWS CloudFormation to automate cloud resource deployment in AWS, GCP, and on-prem environments
• Optimized GCP cloud costs using FinOps principles, reducing cloud spending by 20% through automated scaling and reserved instances
• Developed RESTful APIs using Go and integrated them with front-end applications and third-party services, ensuring fast and reliable communication
• Orchestrated and managed the continuous deployment of microservices on Kubernetes clusters using Argo CD, ensuring high availability and fault tolerance
• Designed and implemented multi-threaded applications in Java, optimizing concurrency and synchronization mechanisms to achieve high performance and responsiveness in real-time data processing systems
• Automated infrastructure deployment using tools like Terraform, CloudFormation, or ARM templates for IaaS resources
• Optimized GCP cloud costs using FinOps principles, reducing cloud spending by 20% through automated scaling and reserved instances
• Configured AWS Identity and Access Management (IAM) roles, policies, and permission boundaries, ensuring security best practices for financial data access
• Developed Visio diagrams for hybrid cloud architecture, Kubernetes deployments, and CI/CD pipelines, improving documentation and communication with stakeholders
• Implemented AWS IAM Identity Center (SSO) to centralize authentication and improve security compliance
• Designed and deployed VyOS-based network solutions, ensuring high availability and secure connectivity across cloud environments
• Optimized Cloud FinOps processes to control AWS expenditures by automating instance rightsizing and scaling policies, ensuring cost-effective cloud resource utilization
• Integrated OpenFlow and Faucet controllers with VyOS for enhanced SDN capabilities and automated traffic management
• Deployed containerized microservices on GCP Kubernetes Engine (GKE), improving application reliability and scalability
• Automated infrastructure deployment and network configurations using SaltStack and VyOS
• Optimized VyOS firewall rules and routing policies, improving network security and performance
• Involved in creating build definitions, Branches, and branch merging methodologies in AWS DevOps
• Lead many critical on-premises data migrations to AWS cloud, assisting the performance tuning and providing successful path towards Redshift Cluster and RDS DB engines
• Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates
• Designed GCP networking architecture, including VPCs, subnets, and inter-region connectivity for distributed applications
• Conducted performance tuning of Prometheus instances to optimize data retention and query performance, ensuring efficient resource usage
• Setting up automated build and test processes to integrate code changes frequently, ensuring early detection of issues and maintaining code quality
• CI tools like Jenkins or Azure DevOps facilitate this aspect
• Leveraged Golang modules for dependency management, streamlining the development process and ensuring reproducible builds
• Managed Kubernetes clusters on AWS using Amazon EKS for container orchestration
• Customized and extended SaaS functionality through configuration, scripting, or application development
• Installing RedHat Linux using Kickstart and applying security polices for hardening the server based on the company policies
• Deployed containerized applications onto EKS clusters using Kubernetes manifests, Helm charts, or CI/CD pipelines integrated with EKS
• Designed and implemented deployment pipelines in Urban Code Deploy, orchestrating the end-to-end delivery process from code commit to production deployment, incorporating automated testing, approval gates, and rollback mechanisms
• Developed and deployed custom applications on PaaS platforms using supported programming languages and frameworks
• Implemented automation using Python and AWS CloudFormation Templates
• Implementing Continuous Integration and Continuous Delivery framework using SVN, Bitbucket, ANT, Maven, Jenkins, Bamboo, Nexus, Control Tier, Make in Linux environment
• Designed Terraform templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates on AWS
• Used security groups, network ACLs, Internet Gateways and Route tables to ensure a secure zone for organizations in AWS public cloud
• Wrote Ansible playbooks to manage Web applications
• Collaborate in the automation of AWS infrastructure via Terraform and Jenkins - software and services configuration via Ansible playbooks
• Managing the OpenShift cluster that includes scaling up and down the AWS app nodes
• Managed security groups on AWS, focusing on high-availability, fault-tolerance, and auto scaling using Terraform templates
• Leveraging kops implemented a Kubernetes Container Orchestration solution within AWS allowing for easy management, creation, and recovery of AWS assets
• Used Ansible for configuration management of hosted Instances within AWS
• Configuring and Networking of Virtual Private Cloud (VPC)
• Developed a Proof of concept to use GITLAB using Gitlab-ci.yml file to configure the CI/CD pipeline in AWS and implemented Clair for security scans in GitLab CI pipeline by configuring it through
• Gitlab-ci.yml file
• Experience in HP Automation Server tool for verification of deployment of artifacts such as EAR, WAR
• Worked and involvement on AWS to provision new instances, S3 Storage Services, AWS EC2 & Cloud watch services
• Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection
• Used Python scripts to store data in S3 and retrieve those files in redshift by using programmatic access by AWS CLI
• Created an AWS RDS MySQL DB cluster and connected to the database through an Amazon RDS MySQL DB Instance using the Amazon RDS Console
• Tested and configured AWS Workspaces (Windows virtual desktop solution) for custom application requirement
• Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure
• Work with orchestration tools like Terraform, Chef and leverage modern tools like Vault, Consul, Kubernetes, Docker, Kafka, etc
• Worked on GIT to maintain source code in Git repositories
• Worked on deploying Docker containers with AWS CI/CD pipeline
• Created CI/CD pipeline to automate Load tests on different environments to evaluate website performance
• Hands-on experience in creating change and incident tickets with JIRA
• Also, familiar with Change Management workflows
• Automated applications and MySQL container deployment in Docker using Python and monitor them using Grafana
• Deployed and supported infrastructure automation and configuration management tools.
• Developed procedures to automate code builds and deployments.
• Monitored system health using Nagios and Splunk for early detection of issues.
• Set up monitoring tools like Graphite and Grafana to track performance metrics.
• Configured, monitored, and maintained cloud infrastructure such as virtual machines, networks, and storage.

Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail), GIT, EBS, Cloud watch, CloudFormation, Docker, Jira, AWS CLI, AWS Auto Scaling, Unix/Linux, Shell scripting.

Project Title: Hybrid Cloud Deployment for Mobile Applications.

Project Description:

Designed and implemented a hybrid cloud architecture to deploy mobile applications using AWS services. Improved application scalability and availability while automating deployment processes with CI/CD pipelines, using Jenkins and Docker.

Responsibilities:

• Involved in designing and deploying a multitude application utilizing almost all of the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS Cloud formation
• Developed shell scripts (e.g., Bash, Python) and automation workflows to streamline repetitive tasks, automate system administration tasks, and improve operational efficiency in Linux environments
• Implemented Infrastructure as Code (IaC) solutions using Terraform, AWS CloudFormation, and Google Deployment Manager, enabling seamless hybrid cloud infrastructure provisioning
• Integrated SonarQube scans within Jenkins CI/CD pipelines for mobile applications deployed on AWS and on-prem infrastructure
• Interacted with client teams to understand client deployment requests
• Responsible for distribution applications across hybrid AWS and physical data centers
• Configured AWS IAM Security Group in Public and Private subnets in VPC
• Created custom GitHub Actions workflows to automate unit, integration, and end-to-end testing, improving code quality and reducing bugs by 30% in production releases
• Created PromQL-based alerts for Kubernetes networking, storage, and application performance monitoring
• Written Cloud Formation templates and deployed AWS resources using it
• Managed SonarQube administration, including installation, configuration, and upgrades for continuous code analysis in a hybrid cloud deployment model
• Converted SevOne-based Edge monitoring to a Prometheus/node-exporter-based solution, improving dashboard performance
• Designed and implemented a hybrid cloud strategy using AWS, GCP, and Oracle OCI, enhancing scalability and disaster recovery
• Creating Cloud Watch alerts for instances and using them in Auto scaling launch configurations
• Involved in scrum ceremonies (stand-up, grooming, planning, demo/review, and retrospective) with the teams
• Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS services in AWS cloud
• Deployed GCP Kubernetes clusters (GKE) for microservices, optimizing auto-scaling and fault tolerance
• Built Continuous Integration environment Jenkins and Continuous delivery environment
• Deployed applications on AWS by using Elastic Bean Stalk
• Built automated infrastructure pipelines for GCP resources using Terraform and GitHub Actions
• Dockerized Applications using Docker images using Docker files
• Used Kubernetes to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts
• Worked closely with Development teams and performance test engineers for EC2 size optimization and Docker build containers
• Configured GCP Cloud Networking, including VPC, firewall policies, and load balancers, ensuring optimal connectivity
• Used build automation tools like ANT, Maven for building applications
• Ansible installation and maintenance for infrastructure automation
• Wrote Ansible Playbooks with Python SSH as the Wrapper to manage configurations of AWS nodes
• Created and maintained Chef recipes and Chef cookbooks to simplify and expedite deployment of applications and mitigate user error
• Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create AMIs for mission critical production servers for backup
• Implemented GCP security best practices, including IAM policies, encryption, and network segmentation for compliance with PCI-DSS standards
• Leveraged AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable, and flexible systems that handled expected and unexpected load bursts
• Built servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection
• Designed and implemented scalable, secure cloud architecture based on Amazon Web Services
• Setup and build AWS infrastructure various resources, VPC EC2, S3, IAM, EBS, Security Group, Auto Scaling, and RDS in Cloud Formation JSON templates
• Experience in Troubleshooting, Configuring and Deploying various enterprise applications in Web Logic, Web Sphere and Tomcat
• Worked on JIRA installation and upgrade and performed JIRA configuration
• Managed and documented all post deployment issues utilizing the Post Deployments Issue Log

Environment: AWS (EC2, VPC, ELB, S3, RDS, Cloud Trail and Route 53), Python, GIT, VPC, SQL, Cloud Watch, AWS Auto Scaling, Cloud Formation, Chef, Ansible, Jenkins, Nagios, ELB, Shell Scripts, Unix/Linux Environment.

Project Title: CI/CD Automation for Biopharmaceutical Applications.

Project Description:

Spearheaded the automation of build and deployment systems for biopharmaceutical applications. Implemented a continuous integration/ continuous delivery (CI/CD) framework using Jenkins and Ansible, enhancing deployment speed and reliability

Responsibilities:

• Involved in DevOps migration and automation processes for build and deploy systems.
• Consulted and recommended client in Build and Release Management Implementation
• Used SCM/Build tools for Developers
• Helping to resolve all SCM/Builds issues like merge conflicts, compilation errors, missing dependencies, Branching/Merging/Tagging
• Automated using Ansible, Python, Perl, or shell scripting with attention to detail, standardization, processes, and policies
• Worked in an agile development team to deliver an end-to-end continuous integration/continuous delivery (CI/CD) product in an open-source environment using tools like Puppet, Jenkins
• Experience in writing Puppet manifests and modules to automate the deployment process and to integrating Puppet manifests into Jenkins jobs for a continuous delivery (CD) framework
• Setup and build AWS infrastructure using various resources, VPC EC2, RDB, S3, IAM, EBS, Security Group, Auto Scaling, SES, SNS and RDS in Cloud Formation JSON templates, Route53, Lambda
• Worked on AWS for deploying EC2 instances consisting of various flavors viz., Oracle Linux, RHEL, CentOS, Ubuntu and Solaris in both Linux and Windows
• Created a fully CI/CD process
• Automated Build and Deployment Platform and coordinating code build promotions and orchestrated deployments using Jenkins/Hudson and GitHub
• Build Java code on to different Jenkins servers as per the schedule
• Researched and implemented code coverage and unit test plug-ins like find bugs, check style and with Maven/Hudson
• Manage releases to make sure the code goes to live with Quality and security

Environment: Java, Maven, ANT, Gradle, groovy, Python, GIT, SVN, Puppet, Jenkins, Ruby, Splunk, JMeter, Tomcat, Sonar Qu be, Bugzilla, Shell, and Perl Scripts, Ansible, PowerShell, Nexus, RHEL 5.x/6.x

Responsibilities:

• Used Jenkins as a continuous integration tool: creating new jobs, managing required plugins, configuring the jobs selecting required source code management tools, building triggers, building system, and post-build actions, scheduling automatic builds, and notifying the build reports
• Develop/Improve continuous integration and automation scripts and perform database deployments
• Responsible for troubleshooting environmental issues
• Implementing Continuous Integration and Continuous Delivery framework using SVN, Bitbucket
• ANT, Maven, Jenkins, Bamboo, Nexus, Control Tier, Make in Linux environment
• Worked on creating various modules and automation of different facts in Puppet, adding nodes to enterprise Puppet Master, and managing Puppet agents
• Making Puppet manifests files and implementing Puppet to convert IAC
• Integrated Bitbucket with JIRA for transition JIRA issues from within Bitbucket Server and monitored the JIRA issues in Bitbucket Server
• Set up the Linux Cron jobs to automate various build-related and application data synchronization jobs
• Built and managed a highly available monitoring infrastructure to monitor different application servers and their components using Nagios
• Designed and scripted using Ant for J2EE, Web Services, Reusable JARS, Web Client, and Open Source to create Master build.xml build Properties and provided technical support to the development team for compilation problems

Environment: Linux, Windows, Tomcat, Jira, JBoss, Puppet, Puppet, Ant, Maven, SVN, Bitbucket, Nagios, Java, Shell Scripting, Python, Bash, Agile, Scrum.

Project Title: HealthCare Data Management System

Project Description:

Led the implementation of a healthcare data management system, focusing on security and compliance. Administered Linux environments, optimized system performance, and implemented disaster recovery strategies to ensure data integrity.

• Responsibilities:
• Participated in the release cycle of the product, which involves environment like Development, QA, and Production
• Installed and designed RHEL Kick Start Installation by configuring NFS, NIS, DNS, DHCP
• Monitoring system performance, adding physical memory to the servers and User administration setup
• Troubleshooting Network, File system memory, CPU, Swap Space and issues, TCP/IP, NFS, DNS, SMTP in Linux and Solaris servers
• Performed Disaster Recovery in RHEL servers which comprises of LVM based FS and Red Hat Clustering
• Performed OS upgrades Kernel Upgrades to Solaris and RHEL on production servers and testing servers
• Installed and configured Nagios system monitoring, writing custom scripts for ESXi servers
• Administered VMware ESXi, for running the RHEL, Solaris, Windows, Centos and Servers on Development and test servers using vCenter
• Configuring and maintaining System Securities using IPTABLES
• Performance tuning of Virtual Memory, CPU, framework utilization in Linux and Solaris servers by SAR tools
• Configuration of Monitoring tools in Linux and Solaris servers by Nagios

Environment: RHEL, Solaris, Centos, Nagios, VMware ESXi, LVM, TCP, DNS, SMTP, Bash Scripting.

Project Title: Data Migration to AWS Cloud

Project Description:

Directed a data migration project to AWS, utilizing tools like AWS Snowball for efficient data transfer. Automated infrastructure provisioning with CloudFormation, and ensured system security through IAM policies and compliance audits.

Responsibilities:

• Day to day problem handling like related to File Systems, Disk, Memory, CPU, Network etc
• Build application and database servers using Azure and create AMIs as well as use RDS for Oracle DB
• Install, configure and administer log analyzer tool Cloud Watch
• Worked on migrating VMware to AWS using snowball and VM Import/Export, experience on Azure code deploy, lambda, VPC and CLI
• Experiencing with Nagios and Splunk monitoring, automate site configuration using Puppet
• Worked on version control using GitHub, automating builds using Jenkins, automating tasks using puppet, worked on tomcat, JBoss install configuration and MongoDB, MySQL
• Deploy Puppet to completely provision and manage AWS EC2 instances, volumes, DNS, and S3
• Backup and restore of databases in Oracle and MySQL Server DB’s, worked on the configuration of server monitoring tool like Nagios, limiting user account privileges using SUDOERS
• Support for Windows and Linux problems assigned by client operations
• Administration of RHEL 5,6,7 which includes installation, testing, tuning, upgrading, and loading patches, troubleshooting on VMware virtualization systems
• Installing RedHat Linux using Kickstart and applying security polices for hardening the server based on the company policies

Environment: RedHat LINUX 5.5/6.3, Kickstart, Ubuntu, Windows, Oracle, DB2, Jenkins, Git, Subversion, VMware, AWS, Chef, Puppet, Apache Webserver, JBoss, WebSphere Application Server & UNIX shell scripting.