Pavan Kumar Damarapati

Experienced Technical Consultant with a demonstrated history of working in the computer software industry. Skilled in Azure (PaaS and to a lesser degree IaaS), Migration, Performance Tuning, Enterprise Software, Enterprise Architecture, Containerization and Orchestration. Mature, well-rounded, high performing, professional with a Masters focused in Computer Science from Governors State University at Chicago.

Self-driven and highly motivated individual with 10+ years customer facing experience in IT development and production engineering specialized in Architecting solutions and DevOps – automating, building, deploying and maintaining CI/CD pipelines.

• Solid understanding of SDLC and 6+ years of hands-on expertise in building and managing hybrid cloud infrastructure - Infrastructure as Code in Amazon Web Services and Microsoft Azure.
• As Cloud Solution Architect have experience in Microsoft PaaS services like Azure Kubernetes Services (AKS), Azure Container Registry (ACR), Azure Container Apps, Event Hubs, Azure AI. Delivered tons of workshops and Valued Based Deliveries on Kubernetes and Containers to onboard customers to AKS and received recognitions from customers and within organization.
• Success in consultative/complex deployment projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects) – Understanding of Azure PaaS service use-cases and design patterns Knowledge of real time/stream analytics.
• Enterprise-level experience – Working with large teams and involved in architecture of highly scalable, secure, distributed applications, aligned with company standards, process, methodologies, and best practices.
• Developed automated workflows that span across major services AWS IAM, CloudFormation, VPC, EC2, EKS, S3, Lambda, ELB, Route53, CloudWatch and automated the deployment process to GitOps approach.
• Worked closely with Development teams, QA teams and Release management to strategize the new release process for cloud stack to optimize the Production deployment timelines from 4-hour SLA based maintenance window to Continuous GitOps based deployment.
• Strong hands on in Shell, Python and Groovy Scripting – Identified the time taking modules of deployment build and parallelized the build pipeline using Python multiprocessing library that brought down the time from 1.5+ hour to 20 minutes.
• Excellent understanding and expertise in Configuration management and DevOps toolset - Git, GitHub, Bitbucket, Maven, Gradle, Terraform, Jenkins, Jira (Kanban), Docker, Kubernetes.

Masters in Computer Science

Bachelors in Computer Science