Manipriya Panduri
Justin,TX
Summary
Over 4+ years of experience in Software industry within Microsoft Azure Devops, Automation, Storage Area Network, Network management and troubleshooting, Configuration Management, Change/Release/Build Management, System Administration, Orchestration Management, Expertise in automating builds and deployment process using Python and Shell scripts with focus on DevOps tools and Azure Cloud Architecture.
Overview
5
5
years of professional experience
Work History
Devops Engineer/Site Reliability Engineer
Deloitte
05.2023 - Current
- Integrated Tomcat server deployments into continuous integration and deployment pipelines using tools like Azure DevOps
- Deployed Kubernetes Clusters on a cloud environment and developed YAML files to build services like pods, deployments, auto-scaling, load balancers, health checks, and namespaces
- Developed Python, Perl and Shell scripts, PowerShell on windows systems for automation of the build and release process and automate deployment and release distribution process with shell, and Perl etc
- Hands on Experience working on migrating on-perm applications to Azure Private Cloud from gathering requirements, Deployment Design document, Planning, designing architecture, CICD using packer, Terraform and Azure DevOps
- Worked on Windows Kubernetes cluster with Azure container Service from Azure CLI and utilized Kubernetes and docker for runtime environment of the CI/CD system to build and test
- Extensively worked on Jenkins and TeamCity for continuous integration and for End-to-End automation for all build and deployments
- Designed, developed, and modified highly specialized Azure cloud applications to drive user efficiency and overall business success
- Created CI/CD Pipelines in Azure Devops environments by providing their dependencies and tasks
- Also have experience in implementing and managing continuous delivery systems and methodologies on AWS and created END-END Automation with CI Procedures using Jenkins & automated Maven builds by integrating them with Continuous Integration tools Jenkins
- Worked as part of release engineering to develop and deploy application code to DEV and Production environments
- Setting up secure measures for Azure Repos such as branch policies, approvers, and code review processes to ensure code quality and prevent unauthorized changes
- Performed L1 Azure Cloud administration tasks such as monitoring system performance, managing access controls, and providing user support
- Build and release cloud-based products containing Linux and windows environments, using PowerShell, TFS and Python scripting
- Performed complex troubleshooting of application and platform during production issues
- Helping team migrate repositories from different source control systems to TFVC and GIT repositories in VSTS (Azure Devops)
- Wrote tools in Perl & shell Scripting to gather user data from global network and database systems via parallel SSH Connections for user management & made data available across the network via RESTful interface
- Hands on training on the Azure DevOps (VSTS) on how to build code and deploy applications using Azure boards, Repos, Pipelines, and artifacts etc
- Involved in automating SOAP, RESTful Services testing for web services and Micro Services applications by developing automation scripts using Python scripting and Read Api – Groovy scripting testing tools
- Collaborating with other development teams to develop reliable software services
- Experience in Shell scripting (bash, ksh) to automate system administration jobs
- Proficient in using Azure Devops Services for project management tasks, source code repository, continuous integration, and development
- Worked on migrating applications from Azure to AWS in the most reliable and efficient way
- Develop pipelines for Building and Deploying micro-services on EKS clusters using helm charts and Jenkins-Spinnaker pipelines
- Experience with container-based deployments using Docker, working with Docker images, Docker Hub, and registries
- Development of Terraform modules for various AWS Services and deploying infrastructure through Unified CICD.
Software Salesforce (Azure DevOps) Engineer
US BANK
11.2022 - 01.2023
- Hands on Experience working on migrating on-perm applications to Azure Private Cloud from gathering requirements, Deployment Design document, Planning, designing architecture, CICD using packer, Terraform and Azure DevOps
- Hands on training on the Azure DevOps (VSTS) on how to build code and deploy applications using Azure boards, Repos, Pipelines and artifacts etc
- Implemented LDAP integration to filter the security for the Prod, Dev and Test environment for Deployment jobs in Jenkins
- Created quality gates in SonarQube dashboard and enforced in the pipeline to fail the builds when conditions not met
- Created Azure Infrastructure using ARM templates, Azure pipelines to build, test, and release, and managed azure container Registry to store private Docker images, which are deployed
- Good Experience developing CICD Pipelines integrating with application repos, Artifacts, Maven, MS Build, Jira and with multiple environments
- Designed and implemented AWS infrastructure with AWS services such as Elastic Beanstalk and S3 and Deployed code across multiple servers effortlessly
- Created quality gates in SonarQube dashboard and enforced in the pipelines to fail the builds when conditions not met
- Extensive experience in Azure Storage
- Managed Blob storage & Table storage with access keys in some of the web applications and Web applications
- Hands on Experience working on Dynatrace setting up alerts, configuring dashboards and debugging issues through pure paths for application API logs
- Experience configuring App Insights, Azure Monitor, and log analytics with application servers for monitoring
- Automating the Salesforce DX code deployments Using CLI Commands
- Working knowledge of Salesforce DX including package-based development models and scratch-org based development
- Developed microservice on boarding tools leveraging Python and Jenkins allowing for easy creation and maintenance of build jobs and Kubernetes deploy and services
- Developed CD Pipelines for various web and app server deployments using Azure DevOps
- Good Experience developing CICD Pipelines integrating with application repos, Artifacts, Maven, MS Build, Jira and with multiple environments
- Extensive experience in web development, application development using Visual Studio .NET Technologies Like C#
- Development of Terraform modules for various AWS Services and deploying infrastructure through Unified CICD.
Azure DevOps Engineer
Commonwealth
07.2021 - 01.2022
- Automated infrastructure using Terraform, Jenkins, and PowerShell for services Azure Cosmos DB, SQL Server, Service fabric, Service bus, Key vault, Traffic Manager, Load Balancer, Application Insights
- Created Azure Functions, the storage account for managing triggers and logging function, Application Insights
- Worked on developing different types of Azure Functions such as Http trigger, Durable functions, Service bus trigger, Event-Hub trigger, and many triggers
- Created GoLang code base for Kubernetes deployment by using the source control of the deployment and HPS YAML files
- Automation accounts with a schedule to turn the Service Fabric Scale Sets on weekends for the passive stamps to reduce resource utilization cost and start with a different schedule run on weekdays
- Utilized Terraform, Terrgrunt, GitLab to enforce policy and enable deployment of monitors through CI/CD with automated changelog generation and release notes to include revision information for auditing changes
- Create terraform modules to automate provisioning VM’s in Azure for application deployment and store the state files utilizing Azure Blob Storage
- Achieve zero-configuration drift by building a CI/CD pipeline to deploy immutable infrastructure in Azure Utilizing Terraform, Ansible, Packer, and Jenkins
- Created Jenkins Pipeline to automate the creation of Azure Function, restore NuGet, build, test, package, archive, publish, and deployed dot net application
- Created Jenkins pipeline for load and performance testing environment, Integrated Infrastructure automation, test harness for Gatling, and report generator in Jenkins pipeline
- Automated client devices for the Commonwealth production controller using Jenkins so that developers can run an End-to-End test and see if labels were printed on devices before the changes moved to the production environment
- Migrating existing Azure DevOps pipeline for Service Fabric application deployment to Jenkins for applications across all the environments restores NuGet, builds, tests, packages, archives, publishes and deploys .net framework .Net Core applications
- Created Azure Dashboards using metrics and app insights query, alerts for resource health, service health, and other resource-specific alerts using Terraform
- Written Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python
- Achieve zero-configuration drift by building a CI/CD pipeline to deploy immutable infrastructure in Azure Utilizing Terraform, Ansible, Packer, and Jenkins
- Used Azure DevOps for creating multi-staged pipelines and releasing them into the environment
- Used Azure Dashboards, Repos, Pipelines, Test plans, and artifacts for Building, testing, storing, and deploying artifacts
- Manage all Salesforce environments including Production, Full Sandboxes, Partial Development Sandboxes, etc
- Ensure that strict release management protocols are followed, and environments are kept up to date
- Used Terraform for creating AKS cluster with Virtual nodes and enabling MongoDB replication
- Scraped the metrics From Prometheus and used Grafana to view them
- Created CI/CD Pipelines in Azure DevOps environments by providing their dependencies and tasks
- Also have experience of implementing and managing continuous delivery systems and methodologies on AZURE and created END-END Automation with CI Procedures using Jenkins & automated Maven builds by integrating them with Continuous Integration tools Jenkins
- Implemented automated build & operational tasks using Python and Power Shell scripts
- Implemented Serverless Cloud Services using Azure Functions with application insights
- Created Pipelines to migrate the Salesforce and ETL Informatica code for DEV, IT, UAT and Prod Environments
- Implemented a CI/CD pipeline using Azure DevOps (VSTS/TFS) in both cloud and on-premises with GIT, MS Build, Docker, Maven along with Jenkins pipeline builds & YAML/JSON
- Design and Implemented Enterprise Level MySQL Galera Cluster backup and recovery method on 23 cloud environments
- Deployed applications on Azure Cloud using Elastic services, AKS, and Azure Container Services.
Azure DevOps Engineer
Commonwealth
07.2021 - 01.2022
- Automated infrastructure using Terraform, Jenkins, and PowerShell for services Azure Cosmos DB, SQL Server, Service fabric, Service bus, Key vault, Traffic Manager, Load Balancer, Application Insights
- Created Azure Functions, the storage account for managing triggers and logging function, Application Insights
- Worked on developing different types of Azure Functions such as Http trigger, Durable functions, Service bus trigger, Event-Hub trigger, and many triggers
- Created GoLang code base for Kubernetes deployment by using the source control of the deployment and HPS YAML files
- Automation accounts with a schedule to turn the Service Fabric Scale Sets on weekends for the passive stamps to reduce resource utilization cost and start with a different schedule run on weekdays
- Utilized Terraform, Terrgrunt, GitLab to enforce policy and enable deployment of monitors through CI/CD with automated changelog generation and release notes to include revision information for auditing changes
- Create terraform modules to automate provisioning VM’s in Azure for application deployment and store the state files utilizing Azure Blob Storage
- Achieve zero-configuration drift by building a CI/CD pipeline to deploy immutable infrastructure in Azure Utilizing Terraform, Ansible, Packer, and Jenkins
- Created Jenkins Pipeline to automate the creation of Azure Function, restore NuGet, build, test, package, archive, publish, and deployed dot net application
- Created Jenkins pipeline for load and performance testing environment, Integrated Infrastructure automation, test harness for Gatling, and report generator in Jenkins pipeline
- Automated client devices for the Commonwealth production controller using Jenkins so that developers can run an End-to-End test and see if labels were printed on devices before the changes moved to the production environment
- Migrating existing Azure DevOps pipeline for Service Fabric application deployment to Jenkins for applications across all the environments restores NuGet, builds, tests, packages, archives, publishes and deploys .net framework .Net Core applications
- Created Azure Dashboards using metrics and app insights query, alerts for resource health, service health, and other resource-specific alerts using Terraform
- Written Ansible Playbooks with Python SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python
- Achieve zero-configuration drift by building a CI/CD pipeline to deploy immutable infrastructure in Azure Utilizing Terraform, Ansible, Packer, and Jenkins
- Used Azure DevOps for creating multi-staged pipelines and releasing them into the environment
- Used Azure Dashboards, Repos, Pipelines, Test plans, and artifacts for Building, testing, storing, and deploying artifacts
- Manage all Salesforce environments including Production, Full Sandboxes, Partial Development Sandboxes, etc
- Ensure that strict release management protocols are followed, and environments are kept up to date
- Used Terraform for creating AKS cluster with Virtual nodes and enabling MongoDB replication
- Scraped the metrics From Prometheus and used Grafana to view them
- Created CI/CD Pipelines in Azure DevOps environments by providing their dependencies and tasks
- Also have experience of implementing and managing continuous delivery systems and methodologies on AZURE and created END-END Automation with CI Procedures using Jenkins & automated Maven builds by integrating them with Continuous Integration tools Jenkins
- Implemented automated build & operational tasks using Python and Power Shell scripts
- Implemented Serverless Cloud Services using Azure Functions with application insights
- Created Pipelines to migrate the Salesforce and ETL Informatica code for DEV, IT, UAT and Prod Environments
- Implemented a CI/CD pipeline using Azure DevOps (VSTS/TFS) in both cloud and on-premises with GIT, MS Build, Docker, Maven along with Jenkins pipeline builds & YAML/JSON
- Design and Implemented Enterprise Level MySQL Galera Cluster backup and recovery method on 23 cloud environments
- Deployed applications on Azure Cloud using Elastic services, AKS, and Azure Container Services.
Azure Cloud Engineer
OPTUM
08.2020 - 07.2021
- Created AKS cluster with various Storage accounts and file shares where Customers can upload their customized rate configuration files then deploy them in AKS by transferring files to related Storage Account files shares of customer using AZCOPY
- Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal
- Worked with Nagios for Azure Active Directory & LDAP and Data consolidation for LDAP users
- Monitored system performance using Nagios, maintained Nagios servers, and added new services & servers
- Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments
- Integrated Azure Log Analytics with Azure VMs for monitoring the log files, store them and track metrics and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers
- Created Kubernetes local environment for testing code, using Docker Desktop then maintained data, library, and rate configuration files in on-prem servers
- Manage all Salesforce environments including Production, Full Sandboxes, Partial Development Sandboxes, etc
- Ensure that strict release management protocols are followed, and environments are kept up to date
- Implemented SonarQube integration with Jenkins automated code quality check in Jenkins Pipeline
- Wrote Shell script for automating process during Docker for setting up env variables to build outside the Clear case and for managing dependencies
- Uploading rate files to Artifactory: Downloaded zip files from NAS extracted zip files individually then uploaded files to Artifactory
- Experienced in automating, configuring, and deploying instances on Azure, AWS, and Rackspace cloud environments and Data centers with-in depth knowledge on ELK Stacks such as Elasticsearch, Logstash and Kibana
- Extensive exposure to configuration Management policies and practices with regards to SLDC; along with automation of scripting using BASH/Perl scripting
- Involved in using Terraform and Ansible, migrate legacy and monolithic systems to Azure and managing Ubuntu and RHEL virtual servers on Azure by creating Ansible Nodes
- Used Terraform to reliably version and create infrastructure on Azure
- Created resources, using Azure Terraform modules, and automated infrastructure management
- Used both Splunk for monitoring and analyzing log information
- Experienced in Troubleshooting
- Splunk search, quotas, monitor Inputs, WMI Issues, Splunk crash logs and Alert scripts
- Experience with Open Shift, Kubernetes architecture and design, troubleshooting issues with platform components Azure, and developing global or multi-regional deployment models and patterns for large-scale developments and deployments on Cloud Foundry, OpenShift and Kubernetes
- Used Git as Source code Manager, Phabricator for code review, Git repository hosting, bug tracking, project management, team collaboration tool, Arcanist as a command line interface to Phabricator to create Lint’s for reviewing code
- Wrote prototype and production code in numerous programming languages which depends up on languages of existing codebase Golang
- Worked with different Bug tracking tools like JIRA
- Generated reports using JIRA for creating projects, assigning permissions to users and groups for the project and created mail handlers and notifications schemes for JIRA
- Extensive experience in design & development of static code analyzer plugins for SonarQube and integration of SonarQube tools with TFS and SQL Server
- Build_rate_from_vault: worked on PowerShell scripts to get files from vault and created a new pipeline build rate from vaults and uploaded files to Artifactory
- EZG DAT build from NAS: Build images by including DAT files lib files and pushed images to Artifactory
- Troubleshooted build issues with images and set properties to images using JFROG spec schema queries
- EZG volume image build: Created docker images which contain easyGroup/lib and easyGroup/dat folders with DAT and lib files
- Created docker file to copy lib/DAT and manifest.json file which includes docker image properties
- Created a new pipeline for build_rate from vault to replace BUILD rate from NAS
- Worked on updating generate_ezg_jobs to use parameters to build new pipelines in Jenkins’s production
- Versionized easyGroup web services with assembly Version+ Jenkins’s build id and timestamp
- Added promote step easyGroup web services and included qa/final labels to web Services images
- Worked on detecting failures in PowerShell script which helps downloading rate, vault, NAS files from JFROG Artifactory
- Worked on helm charts to populate to shared volumes with files from latest easyGroup volume image
- Worked on uploading rate files to Artifactory
- Worked on adding promote steps to EasyGroup web Services images
- Worked on creating manifest files for dat_builds and added properties to artifacts which helps filtering artifacts based on properties
- Deployed and managed Confidential Aurora MySQL environments using Terraform
- Simplified PowerShell script to download artifacts from JFROG Artifactory using hash map
- Worked JFROG spec schema to query artifacts with timestamps and properties
- Worked on groovy script for generate_ezg_jobs to create new product pipelines with the help of custom template by passing desired set of parameters from Jenkins’s file
- Updated Jenkins file of dat_build to create manifest file with list of vault source paths used
- Worked on Automating to run source files in Aix environment using Jenkins ssh agent using bash script
- Migrated on-premises MySQL environments to MySQL on confidential EC2 and Confidential Aurora MYSQL With ongoing database replication
- Worked on downloading latest Source zip files from Artifactory and compiling source files in a loop using ssh agent and bash script.
Azure Cloud Engineer
OPTUM
08.2020 - 07.2021
- Created AKS cluster with various Storage accounts and file shares where Customers can upload their customized rate configuration files then deploy them in AKS by transferring files to related Storage Account files shares of customer using AZCOPY
- Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal
- Worked with Nagios for Azure Active Directory & LDAP and Data consolidation for LDAP users
- Monitored system performance using Nagios, maintained Nagios servers, and added new services & servers
- Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments
- Integrated Azure Log Analytics with Azure VMs for monitoring the log files, store them and track metrics and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers
- Created Kubernetes local environment for testing code, using Docker Desktop then maintained data, library, and rate configuration files in on-prem servers
- Manage all Salesforce environments including Production, Full Sandboxes, Partial Development Sandboxes, etc
- Ensure that strict release management protocols are followed, and environments are kept up to date
- Implemented SonarQube integration with Jenkins automated code quality check in Jenkins Pipeline
- Wrote Shell script for automating process during Docker for setting up env variables to build outside the Clear case and for managing dependencies
- Uploading rate files to Artifactory: Downloaded zip files from NAS extracted zip files individually then uploaded files to Artifactory
- Experienced in automating, configuring, and deploying instances on Azure, AWS, and Rackspace cloud environments and Data centers with-in depth knowledge on ELK Stacks such as Elasticsearch, Logstash and Kibana
- Extensive exposure to configuration Management policies and practices with regards to SLDC; along with automation of scripting using BASH/Perl scripting
- Involved in using Terraform and Ansible, migrate legacy and monolithic systems to Azure and managing Ubuntu and RHEL virtual servers on Azure by creating Ansible Nodes
- Used Terraform to reliably version and create infrastructure on Azure
- Created resources, using Azure Terraform modules, and automated infrastructure management
- Used both Splunk for monitoring and analyzing log information
- Experienced in Troubleshooting
- Splunk search, quotas, monitor Inputs, WMI Issues, Splunk crash logs and Alert scripts
- Experience with Open Shift, Kubernetes architecture and design, troubleshooting issues with platform components Azure, and developing global or multi-regional deployment models and patterns for large-scale developments and deployments on Cloud Foundry, OpenShift and Kubernetes
- Used Git as Source code Manager, Phabricator for code review, Git repository hosting, bug tracking, project management, team collaboration tool, Arcanist as a command line interface to Phabricator to create Lint’s for reviewing code
- Wrote prototype and production code in numerous programming languages which depends up on languages of existing codebase Golang
- Worked with different Bug tracking tools like JIRA
- Generated reports using JIRA for creating projects, assigning permissions to users and groups for the project and created mail handlers and notifications schemes for JIRA
- Extensive experience in design & development of static code analyzer plugins for SonarQube and integration of SonarQube tools with TFS and SQL Server
- Build_rate_from_vault: worked on PowerShell scripts to get files from vault and created a new pipeline build rate from vaults and uploaded files to Artifactory
- EZG DAT build from NAS: Build images by including DAT files lib files and pushed images to Artifactory
- Troubleshooted build issues with images and set properties to images using JFROG spec schema queries
- EZG volume image build: Created docker images which contain easyGroup/lib and easyGroup/dat folders with DAT and lib files
- Created docker file to copy lib/DAT and manifest.json file which includes docker image properties
- Created a new pipeline for build_rate from vault to replace BUILD rate from NAS
- Worked on updating generate_ezg_jobs to use parameters to build new pipelines in Jenkins’s production
- Versionized easyGroup web services with assembly Version+ Jenkins’s build id and timestamp
- Added promote step easyGroup web services and included qa/final labels to web Services images
- Worked on detecting failures in PowerShell script which helps downloading rate, vault, NAS files from JFROG Artifactory
- Worked on helm charts to populate to shared volumes with files from latest easyGroup volume image
- Worked on uploading rate files to Artifactory
- Worked on adding promote steps to EasyGroup web Services images
- Worked on creating manifest files for dat_builds and added properties to artifacts which helps filtering artifacts based on properties
- Deployed and managed Confidential Aurora MySQL environments using Terraform
- Simplified PowerShell script to download artifacts from JFROG Artifactory using hash map
- Worked JFROG spec schema to query artifacts with timestamps and properties
- Worked on groovy script for generate_ezg_jobs to create new product pipelines with the help of custom template by passing desired set of parameters from Jenkins’s file
- Updated Jenkins file of dat_build to create manifest file with list of vault source paths used
- Worked on Automating to run source files in Aix environment using Jenkins ssh agent using bash script
- Migrated on-premises MySQL environments to MySQL on confidential EC2 and Confidential Aurora MYSQL With ongoing database replication
- Worked on downloading latest Source zip files from Artifactory and compiling source files in a loop using ssh agent and bash script.
DevOps / Cloud Engineer
Microsoft
01.2020 - 08.2020
Education
Master’s in computer science -
Texas A&M University
Kingsville, Texas01.2019
Bachelor’s in engineering (computer science) -
Jawaharlal Nehru Technological University Kakinada
01.2014
Skills
- Operating System: Redhat Linux 7/8, CentOS 8 0, Windows, Ubuntu
- Scripting: Python, Bash, Shell
- Cloud Services: AWS (EC2, S3, RDS, Amazon Lambda, SNS, VPC, CloudWatch), Azure DevOps
- Network Protocols: TCP/IP, UDP, DHCP, HTTP/HTTPS, VPN, DNS, NTP, FTP, SSH, and Telnet
- Programming: Python, Ruby, Powershell, SQl, HTML, Golang, JavaScript
- SCM/Version Control Tools: GIT, Subversion
- Devops Tools: Docker, Kubernetes, Jenkins, Ansible
- Web and Application Server Technologies: Apache Tomcat, Apache HTTPD, Nginx, Puma
- Hardware: HPE ProLiant dl380 gen10, ProLiant DL360 Gen10, HPE 3PAR array, HPE Primera
- Storage: LVM, RAID Controller, NFS, ext4, XFS, SAN, FCP, iSCSI,FCoE and FC-NVMe
- Virtualization: VSphere, ESX/ESXi server 67/50/41/40, VMware Update Manager
- Network troubleshooting tools: telnet, netstat, traceroute, dig, tcpdump
Timeline
Devops Engineer/Site Reliability Engineer
Deloitte
05.2023 - Current
Software Salesforce (Azure DevOps) Engineer
US BANK
11.2022 - 01.2023
Azure DevOps Engineer
Commonwealth
07.2021 - 01.2022
Azure DevOps Engineer
Commonwealth
07.2021 - 01.2022
Azure Cloud Engineer
OPTUM
08.2020 - 07.2021
Azure Cloud Engineer
OPTUM
08.2020 - 07.2021
DevOps / Cloud Engineer
Microsoft
01.2020 - 08.2020
Master’s in computer science -
Texas A&M University
Bachelor’s in engineering (computer science) -
Jawaharlal Nehru Technological University Kakinada