Manisha Medasani
Irving,TX
Summary
A highly skilled AWS DevOps Engineer with 4 years of experience in cloud management, infrastructure automation, and continuous integration and deployment (CI/CD). Proficient in deploying scalable, fault-tolerant solutions using AWS services such as EC2, Lambda, EKS, and CloudFormation, as well as configuration management tools like Terraform and Ansible. Experienced in optimizing application performance and streamlining deployment processes through automation, resulting in increased efficiency and reduced manual errors. Strong background in containerization with Docker and Kubernetes, and adept in ensuring security and compliance for cloud-based architectures.
Overview
6
6
years of professional experience
Work History
DevOps Engineer
Amex
Dallas
06.2023 - Current
- Worked with Senior Developers to build new customer facing web applications and made enhancements to existing web- applications
- Configured monitoring using Cloud watch for various applications and sent alerts to Slack and email using SNS
- Created highly customizable CloudFormation templates that can be reused for various Environments, Applications, AMI's, etc
- Configured and managed various AWS Services including EC2, RDS, VPC, S3, Glacier, Cloud Watch, Cloud Front, and Route 53, Lambda, Code Pipeline, Cloud Formation, IAM etc
- Created AWS Application Management, Cloud Formation Provision & Manager Infrastructure as code, Launched Web app using Elastic Beanstalk and driven forward all necessary initiatives across regions
- Worked on Managing Private Cloud Environment using Chef and Implemented Chef to deploy builds for Dev, QA and Production
- Developed and maintained responsive web applications, ensuring cross-browser compatibility and adherence to best practices
- Developed and maintained responsive web applications, ensuring cross-browser compatibility and adherence to best practices
- Utilized modern front-end frameworks such as React, Vue.js, or Angular to build dynamic user interfaces and enhance user experience
- Deploying and managing many servers utilizing both traditional and cloud-oriented providers (AWS) with Chef Platform configuration system
- Created Cloud Formation Stack and automated Jenkins for Provisioning of Dev, QA, Pre-Prod and Production Environment
- Build applications around Microservices architecture, defined through Docker Compose file and setup SWARM Cluster to deploy the applications
- Scheduling jobs using Ansible Tower Experience and writing Python modules for Ansible customizations
- Utilized Ansible Tower to manage automation workflows and improve team operational efficiency
- Also implemented RBAC in Ansible tower to control access ensuring security and complains
- Integrated Ansible Tower with CI/CD pipelines for automation workflow automatically
- Developed and maintained applications using Go and Python, enhancing performance and scalability
- Developed Python scripts for data analysis, leading to actionable insights that drove business decisions
- Ansible to manage Web applications, Environments configuration Files, Users, Mount points and Packages
- Written various Lambda services for automating the functionality on the Cloud
- Implemented a Server less Architecture using API Gateway, Lambda, and Dynamo DB and deployed AWS Lambda code from Amazon S3 buckets and Created a Lambda Deployment function and configured it to receive events from your S3 bucket
- Designed and implemented relational databases using SQL (e.g., MySQL, PostgreSQL), ensuring data integrity and normalization
- Developed and maintained NoSQL databases (e.g., MongoDB, Cassandra) for high-volume, unstructured data storage and retrieval
- Established and maintained backup and recovery procedures for SQL and NoSQL databases, ensuring data security and reliability
- Designed the project workflows/pipelines using Jenkins and Code Pipeline for Continuous Integration and deployment into different Web/Application Servers.
- Improved code deployment efficiency by automating processes with CI/CD pipelines.
Cloud Engineer
Retail Business Services
, NC
01.2023 - 06.2023
- Responsible for the Amazon AWS Cloud Administration which includes services like: EC2, S3, Glacier, EBS, VPC, ELB, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, CloudFormation, OPS Works, Security Groups
- Working closely with engineers, programmers, and different teams to obtain information on project limitations and requirements
- Setting up and deploying the code into new AWS Environments and monitoring the environments to make sure no error occurs
- Responsible for Managing Data platform availability, Security and performance which serves across the company for Data transformation jobs for Data Engineers, Data Scientists and Data Analysts
- Implemented automated scans and vulnerability remediation mechanism for various application servers includes both Windows and Linux
- Work with operations teams to ensure their applications and services are highly available and performant
- Perform code reviews, evaluate implementations, and provide feedback for tool/applications improvements
- Collaborate with stakeholders and translate business objectives into technical strategies and document the technical details to make enhancements and add new features
- Responsible for automating the processes where possible and propose new tools when needed
- Managed and administered distributed database systems including PostgreSQL, Elasticsearch, MSSQL Server, and DynamoDB in high-availability and fault-tolerant configurations
- Deployed and configured distributed database clusters for optimal performance and scalability across multiple nodes and regions
- Developed scaling strategies for distributed database systems to accommodate growing data volumes and user loads, including horizontal and vertical scaling approaches as well as auto-scaling mechanisms
- Manage source code, software builds, software versioning, & defect tracking on software maintenance tasks/projects
- Implemented monitoring solutions such as Prometheus, Grafana, or Nagios to monitor the health and performance of clustered web services
- Configured and managed network protocols such as DNS, HTTP, SSL, SMTP, and TCP, ensuring reliable and secure data transmission
- Troubleshot and resolved complex networking issues to maintain high availability and performance of applications and services
- Utilized auto-scaling capabilities to dynamically adjust resource allocation based on demand
- Utilized Terraform extensively to automate the provisioning and management of infrastructure resources, ensuring consistency and reproducibility across environments
- Successfully deployed both monolithic and microservice-based production applications using automated pipelines, ensuring smooth and efficient deployment processes
- Built and managed secure OCI containers, implementing best practices for containerization and ensuring the integrity and security of containerized applications
- Implemented automated build, test, and deployment pipelines, reducing manual intervention, and ensuring faster time to market for software releases
- Also, proficient in addressing day-to-day operational requirements to maintain system reliability
- Proficient in containerization technologies like Docker and container orchestration platforms like Kubernetes, managing containerized applications for scalability and resilience
- Configured and managed Akamai's Content Delivery Network (CDN) to enhance website performance and scalability, achieving up to a 60% reduction in page load times and a 45% decrease in latency
- Monitored WAF alerts and reports, responded to security incidents in real-time, and performed regular updates to WAF rules based on evolving threat landscapes
- Created customized dashboards and reports in ASM to track key performance indicators and security metrics, providing actionable insights for ongoing security improvements
- Integrated Akamai’s APIs with internal systems and third-party tools to automate content delivery and security processes, enhancing operational efficiency and reducing manual interventions
- Developed and maintained automation workflows using Akamai’s tools and APIs to streamline content management, security policy updates, and performance monitoring
- Worked on Docker and Kubernetes on cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud
- Provisioned and Managed Application infrastructures hosted on AWS Cloud and ensured high availability, reliability, scalability, and fault tolerance
- Demonstrated proficiency in working with Kubernetes, leveraging EKS as the managed Kubernetes service
- Integrated EKS with other AWS services, such as Amazon RDS, S3, and IAM, to enhance application functionality
- Designed and implemented high availability architectures for clustered web services, utilizing techniques such as active-passive failover, distributed coaching, and data replication to minimize downtime and ensure continuous service availability
- Created comprehensive technical documentation including architecture diagrams, deployment guides, and standard operating procedures (SOPs) to facilitate knowledge sharing and team collaboration
- Managed configuration files and environment variables for clustered web services, ensuring consistency and reproducibility across multiple nodes within the cluster
- Implemented security best practices for clustered web services, including SSL/TLS encryption, firewalls, and intrusion detection/prevention systems, to protect against security threats and vulnerabilities
- Managed cloud infrastructure across multiple providers such as AWS, Azure, and Google Cloud Platform (GCP), ensuring high availability, scalability, and security
- Configured monitoring and logging solutions (e.g., Amazon CloudWatch, AWS X-Ray) to gain insights into EKS cluster performance and troubleshoot issues
- Successfully managed updates and patches for EKS clusters, ensuring the infrastructure is up-to-date and secure
- Created and maintained Operations runbook in Confluence for various critical applications and handed over to Operations teams for monitoring
- Developed efficient code to run cloud-based solutions in a resilient, secure, and scalable fashion, be it a web service, UI, or highly scalable data model.
System/ Application Developer
Channel Soft Inc
Hyderabad
01.2019 - 07.2021
- Experienced in writing automation using Unix Shell scripting
- Experience in Datastore
- Nexus Repository Manager OSS
- Experience in continuous integration tools – Jenkins/Hudson
- Responsible for implementing CI-CD for DEV, SIT, UAT, PROD environments
- (Continuous Integration & Delivery System)
- Responsible for the Amazon AWS Cloud Administration which includes services like: EC2, S3, Glacier, EBS, VPC, ELB, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, CloudFormation, OPS Works, Security Groups
- Working closely with engineers, programmers, and different teams to obtain information on project limitations and requirements
- Setting up and deploying the code into new AWS Environments and monitoring the environments to make sure no error occurs
- Responsible for Managing Data platform availability, Security and performance which serves across the company for Data transformation jobs for Data Engineers, Data Scientists and Data Analysts
- Implemented automated scans and vulnerability remediation mechanism for various application servers includes both Windows and Linux
- Work with operations teams to ensure their applications and services are highly available and performant
- Perform code reviews, evaluate implementations, and provide feedback for tool/applications improvements
- Worked on Docker and Kubernetes on cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud
- Designed AWS CloudFormation templates to create custom sized VPC, subnets, NAT, NACL, Security groups to ensure successful deployment of Web applications and database templates
- Involved heavily in setting up the CI/CD pipeline using GitHub, Jenkins, Maven, Nexus, Terraform and AWS
- Configured an AWS Virtual Private Cloud (VPC) and Database Subnet Group for isolation of resources within the Amazon RDS Aurora DB cluster
- Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups, VPC, CloudFormation
- Experienced in Build tools like Ant, Maven, NPM for building deployable artifacts
- Knowledge in RESTful APIs and ability to design cloud ready applications using cloud SDK’s , microservices
- Managed the Source Code analysis using SonarQube & HP-Fortify
- Implemented Terraform modules for deployment of various applications across multiple Cloud providers and managing infrastructure.
Education
Master of Science - Information Science
Cleveland State University
Cleveland, OH12.2022
Skills
- TECHNICAL SKILLS:
- Cloud Computing: AWS EC2, ELB, S3, EBS, VPC, Route 53, RDS, Auto-Scaling, IAM, SNS, SES, SQS, Cloud Front, Cloud Formation, Cloud Watch, Elastic Beanstalk, ECS, EKS, Lambda, etc
- Programming/Scripting Languages: Java, Python, YAML, Shell Scripting
- Version Control Tools: GitHub, Git lab, Bit bucket
- DevOps Tools: Chef, Ansible, Jenkins, Kubernetes, Docker, Code Pipeline, Code Deploy
- Monitoring Tools: Dynatrace, Splunk, Data Dog
- Infrastructure as code: Terraform, CloudFormation, Ansible
Affiliations
- AWS Cloud Engineer and DevOps Engineer with around 4 Years of experience in Cloud Management, Cloud infrastructure creation and configuration, Application migration to AWS Cloud, implementation of new AWS solutions, and technical skills in areas of AWS Cloud, DevOps, CI/CD pipelines, Build and Release Management, Software Development and Deployment, Supporting Cloud Architectures, Monitoring and Cloud operations.
- Extensive Hands-on experience on implementing and managing Cloud Solutions using various AWS Services including EC2, Elastic Load Balancer, Auto Scaling, VPC, Security Groups, NAT, NACL, IAM, S3, EFS, AWS Kinesis, Lambda, Cloud Formation, Cloud Front, Cloud Watch, Cloud Trail, Route 53, Code Pipeline, Code Build, Code Deploy, Elastic Beanstalk, Elastic Cache, RDS, SNS, SES, etc.
- Knowledge of Confidential EC2, VPC, Confidential S3, Confidential SimpleDB, Confidential RDS, Cloud Formation, IAM, Route53, Cloud Trail, CodeCommit, Workspaces.
- Architecture, Security, IT Infrastructure, Virtualization, and Internet Technologies.
- Experienced in creating Cloud infrastructure for various applications, securing the infrastructure, creating the networking components on AWS using CloudFormation
- Developed and maintained automated scripts using Ruby, Python, and Bash to streamline deployment processes and infrastructure management, improving efficiency by 40%.
- Implemented Ansible playbooks for configuration management and orchestration, reducing manual configuration errors by 30%.
- Good working experience in Configuring and Networking of Virtual Private Cloud (VPC), Cloud Front, Route53.
- Experience on building CI/CD on AWS environment using AWS Code Commit, Code Build Code Deploy, Code Pipeline and Cloud Formation.
- Experienced creating Kubernetes cluster infrastructure and deploying Docker container for various applications.
- Good experience in building and deploying CD pipelines with Jenkins, Maven, AWS Code pipeline, Docker, GIT.
- Hands on experience in Terraform for building, changing, and versioning of Infrastructure and wrote Templates AWS infrastructure as a code using Terraform to build staging and production environments.
- Managed various applications, focusing on high-availability, fault-tolerance, and auto scaling using Terraform templates along with Continuous Integration and Continuous Deployment with AWS Lambda code pipeline.
- Experienced with setup, configuration and maintain ELK stack (Elastic search, Log stash and Kibana).
- Successfully deployed and managed Amazon EKS clusters for container orchestration.
- Integrated EKS with other AWS services, such as Amazon RDS, S3, and IAM, to enhance application functionality.
- Deployed application, which is containerized using Docker onto a Kubernetes cluster, managed by Amazon Elastic Container Service for Kubernetes (EKS).
- Good working experience with Docker images, containers, and deployment of Docker onto ECS and Kubernetes.
- Experienced in Software Development Lifecycle (SDLC) using SCRUM, Agile methodologies.
- Hands on experience in writing terraform modules to provision instances, creating VPC and subnets and setting up remote state in Storage Buckets.
Timeline
DevOps Engineer
Amex
06.2023 - Current
Cloud Engineer
Retail Business Services
01.2023 - 06.2023
System/ Application Developer
Channel Soft Inc
01.2019 - 07.2021
Master of Science - Information Science
Cleveland State University
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