Vasavi Pabba

Project:

Cloud Infrastructure Automation and Deployment

• Assisted in managing and maintaining AWS infrastructure including EC2, S3, and VPC.
• Supported CI/CD automation using GitHub Actions and Jenkins to streamline deployments.
• Worked with Terraform for basic infrastructure provisioning and configuration.
• Helped containerize applications using Docker for consistent deployment environments.
• Monitored cloud performance using CloudWatch and resolved basic deployment issues.
• Collaborated with the DevOps team to ensure stable, secure, and efficient cloud operations.

SUMMARY

DevOps Engineer experienced in AWS cloud services, CI/CD pipeline automation, containerization, and infrastructure as code. Skilled in building scalable, reliable, and cost-efficient deployments using Terraform, Docker, GitHub Actions, and AWS serverless technologies.

SKILLS

Cloud: AWS (Lambda, EC2, ECS Fargate, ECR, API Gateway, Cognito, S3, CloudWatch)

CI/CD: GitHub Actions, AWS CodePipeline, CodeBuild, CodeDeploy

IaC: Terraform, AWS SAM, CloudFormation

Containers: Docker, Kubernetes

Languages: Python, Bash

Version Control: Git, SVN

Monitoring: AWS CloudWatch, Logging & Metrics

Other: Serverless architecture, Microservices, Networking, Security Groups, IAM

PROJECT EXPERIENCE

Project-1:

TaskMaster – Serverless Task Management Application

Technologies: AWS Lambda, API Gateway, DynamoDB, Cognito, SAM, CloudFormation

• Developed backend using AWS Lambda for fully serverless compute.

• Built secured REST APIs using API Gateway with Cognito authentication.

• Managed NoSQL data storage using DynamoDB ensuring scalability and low latency.

• Implemented automated deployments using AWS SAM and CloudFormation.

• Monitored performance using CloudWatch and resolved bottlenecks.

Impact: Reduced infrastructure cost by 70% and achieved auto-scaling deployment.

Project-2:

Terraform Automation for AWS Lambda with S3 Trigger

Technologies:Terraform, AWS Lambda, S3, IAM

• Built infrastructure using Terraform to automate Lambda deployment.

• Configured S3 event triggers for real-time file processing.

• Created IAM roles and policies with least-privilege access.

• Automated deployment process to reduce manual effort and errors.

Impact: Improved scalability, reduced human error, and enabled on-demand execution.

Project-3:

Dockerized Flask Application Deployment on AWS EC2 (CI/CD with GitHub Actions)

Technologies: Docker, Flask, EC2, Terraform, GitHub Actions, IAM, CloudWatch

• Designed CI/CD pipeline for building, testing, and deploying the application.

• Provisioned EC2 instances, VPC, and security groups using Terraform modules.

• Containerized Flask app using Docker for consistent runtime environments.

• Automated image build and push to Docker Hub.

• Enabled monitoring and logging through CloudWatch.

Impact: Achieved automated, repeatable deployments with reduced downtime.

Project-4:

CI/CD Pipeline for Microservices on AWS ECS Fargate (Blue/Green Deployment)

Technologies: ECS Fargate, ECR, CodePipeline, CodeBuild, CodeDeploy, ALB, IAM, S3

• Built end-to-end CI/CD pipeline for microservices deployment.

• Containerized services using Docker and stored images in ECR.

• Implemented Blue/Green deployment on ECS Fargate for zero downtime.

• Configured ALB routing, logging, monitoring, and IAM roles.

Impact: Delivered zero-downtime releases with high availability and automated rollbacks.