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Raj Kumar Pammi

DevOps Engineer • Hyderabad, India • r***************@gmail.com • +91*******830 • linkedin.com/••••• • github.com/•••••

Professional Summary

Entry-level DevOps Engineer with hands-on experience in AWS serverless services, containerization, and CI/CD pipelines. Practical exposure to building and deploying serverless applications and containerized two‑tier web apps using Jenkins, Docker, and Docker Compose. Strong foundation in Python and Bash scripting, infrastructure-as-code concepts, monitoring, and collaboration within client-focused teams. Seeking a DevOps role where I can apply automation and cloud skills to improve deployment reliability and operational efficiency.

Technical Skills

Programming Languages: Python,Bash
Frameworks and Libraries: Flask
Databases: SQL,MySQL
Cloud and DevOps: AWS,Amazon EC2,Amazon S3,AWS IAM,AWS Lambda,Amazon API Gateway,Amazon DynamoDB,AWS VPC,Microsoft Azure,Google Cloud Platform,Jenkins,GitHub Actions,CI,CD pipelines,Docker Compose,Docker,Kubernetes,Terraform
Tools and Methodologies: Git,GitHub
Monitoring & Logging: Amazon CloudWatch

Work Experience

WIPRO
Hyderabad
Associate
Oct 2025 – Present
Tech Stack: Python, Bash, Docker, Git, Terraform
  • Collaborated with cross-functional teams to ingest and preprocess geospatial datasets, using Python and Bash scripts to standardize formats and improve downstream pipeline reliability.
  • Designed and implemented automated mapping output pipelines that converted raw geospatial inputs into client-ready deliverables, improving repeatability and reducing manual corrections.
  • Containerized data-processing tasks to create consistent execution environments for analysts, enabling reproducible runs across development and test systems using Docker.
  • Authored runbooks and technical documentation for dataset processing and mapping workflows, reducing onboarding time for new team members and clients.
  • Monitored pipeline health and assisted in troubleshooting data anomalies by analyzing logs and alerts; coordinated fixes with stakeholders to restore expected outputs.
  • Contributed to process-improvement initiatives by recommending CI/CD and infrastructure-as-code practices (Terraform) to standardize deployments and reduce manual deployment steps.
Vinsys IT services
AWS Cloud Developer Intern
Dec 2024 – Mar 2025
Tech Stack: AWS Lambda, API Gateway, DynamoDB, Amazon EC2, Docker, Jenkins, GitHub, CloudWatch
  • Developed serverless applications using AWS Lambda and Amazon API Gateway, implementing RESTful endpoints and integrating with Amazon DynamoDB for persistent storage.
  • Configured IAM roles, policies, and VPC settings to secure Lambda executions and resource access, following least-privilege principles.
  • Built and deployed a two-tier Flask + MySQL application on Amazon EC2 using Docker and Docker Compose to standardize local and cloud environments.
  • Implemented CI pipelines with Jenkins and integrated GitHub for source control to automate build and deployment workflows for sample applications.
  • Configured Amazon CloudWatch for function and application monitoring, created metrics and logs to identify performance bottlenecks and optimize executions.
  • Prepared technical documentation and conducted knowledge-sharing sessions to demonstrate deployments, monitoring setup, and troubleshooting steps to peers.

Projects

Serverless Inventory Management System
Tools Used: AWS Lambda, API Gateway, DynamoDB, Amazon S3, CloudWatch, Python
  • Developed a serverless inventory application using AWS Lambda and Amazon API Gateway with DynamoDB as the primary datastore to handle CRUD operations.
  • Hosted a static dashboard on Amazon S3 and added CloudWatch-based optimizations that improved query response characteristics for the dashboard.
  • Configured CORS and API Gateway settings to enable browser-based access and resolved cross-origin issues for the front-end dashboard.
Automated CI/CD Pipeline for a 2-Tier Flask Application on AWS
Tools Used: Jenkins, Docker, Docker Compose, Amazon EC2, Flask, MySQL, GitHub
  • Built an automated CI/CD pipeline using Jenkins to build, test, and deploy a two‑tier Flask + MySQL app to Amazon EC2 instances.
  • Containerized application components with Docker and used Docker Compose for environment orchestration to ensure consistent deployments.
  • Integrated GitHub for version control to enable automated, reliable deployments and simplified rollback during iterative development.

Education

Bonam Venkata Chalamayya Engineering College
B.Tech in Electrical and Electronics Engineering • Nov 2021 – May 2024

Certifications

DevOps Short Course — IT Masters & Charles Sturt University
AWS Cloud Practitioner — Amazon Web Services Training and Certification
Microsoft Azure Fundamentals (AZ-900) — LinkedIn Learning
Google Cloud Platform Skill Badges — Google Cloud Skills Boost

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