Vasavi Pabba

Project:

• Managed AWS resources (EC2, S3, VPC, IAM) to support stable cloud operations.
• Assisted CI/CD automation using GitHub Actions and Jenkins for smoother deployments.
• Used Terraform for basic infrastructure provisioning and configuration.
• Containerized applications with Docker for consistent deployment environments.
• Monitored system performance via CloudWatch and resolved deployment issues.

SUMMARY

DevOps Engineer with experience in AWS cloud, CI/CD, containers, and IaC. Skilled in Terraform, Docker, Kubernetes, and GitHub Actions to build scalable, secure, and automated deployments. Focused on reliability, cost-efficiency, and improving deployment speed.

SKILLS

Cloud: AWS (Lambda, EC2, ECS Fargate, EKS, ECR, API Gateway, Cognito, S3, CloudWatch)
CI/CD: GitHub Actions, CodePipeline, CodeBuild, CodeDeploy
IaC: Terraform, CloudFormation, AWS SAM
Containers: Docker, Kubernetes
Languages: Python, Bash
Monitoring: CloudWatch, Prometheus, Grafana

Operating System: Linux,Ubuntu and Windows
Other: Serverless, Microservices, IAM, Networking, Security Groups

Project-1:

TaskMaster – Serverless Task Management App

AWS Lambda | API Gateway | DynamoDB | Cognito | SAM

• Built fully serverless backend using Lambda and API Gateway with Cognito auth.
• Designed scalable DynamoDB tables and CloudFormation-based deployments.
• Optimized monitoring & performance using CloudWatch.
  Impact: Reduced infra cost by 70% with automatic scaling.

Project-2:

ShopE – E-Commerce Platform with DevOps Pipeline

AWS EKS | Docker | Kubernetes | Terraform | GitHub Actions | RDS

• Containerized microservices and deployed on EKS with auto-scaling.
• Implemented CI/CD with GitHub Actions for build, test, deploy.
• Provisioned infra with Terraform; added monitoring via Prometheus & Grafana.
  Impact: Improved deployment reliability by 90% and reduced manual effort

Project-3:

Scalable Flask Application Deployment using Linux

Linux | Docker | Flask | AWS EC2 | Automation

• Deployed containerized Flask app on AWS EC2 using Docker + Linux for scalable environments.
• Built automated CI/CD workflows for consistent and repeatable deployments.
• Optimized runtime stability through Docker and Linux configuration.
  Impact: Improved deployment speed, scalability, and system reliability.

Project-4:

Microservices CI/CD on ECS Fargate (Blue/Green Deployments)

ECS Fargate | ECR | CodePipeline | CodeDeploy | ALB

• Built end-to-end CI/CD pipeline for microservices.
• Implemented zero-downtime Blue/Green deployments.
• Configured ALB routing, IAM, logging, and monitoring.
  Impact: Delivered high-availability deployments with automatic rollback.