Pavan Kalyan Buradagunta
Python Full-Stack Developer | AWS Cloud Engineer (Intern) • Hyderabad, India • p*********************@gmail.com • +91*******529 • linkedin.com/••••• • github.com/•••••
Professional Summary
Entry-level Python Full-Stack Developer and AWS Cloud Engineer with hands-on internships building production-grade Django REST applications and cloud infrastructure. Experienced in serverless pipelines, EC2/S3 deployments, PostgreSQL optimization, CI/CD, Docker, and automated testing with pytest. Demonstrated impact: automated workflows (40% time savings), optimized DB queries (35% faster), and maintained 99%+ uptime. Seeking an entry-level software or cloud engineering role to deliver scalable, secure systems and automation.
Technical Skills
Programming Languages: Python,JavaScript,Java
Web Technologies: REST APIs
Frameworks and Libraries: Django,Django REST Framework,React,Pandas,NumPy
Databases: SQL,PostgreSQL,MySQL,MongoDB
Cloud and DevOps: AWS EC2,AWS S3,AWS Lambda,AWS IAM,AWS CloudWatch,AWS VPC,AWS CLI,Serverless Architecture,Docker,CI,CD,Linux
Testing: pytest
Tools and Methodologies: Git,GitHub,Microservices,API integration,Infrastructure as Code,OOP,SDLC,Agile
Work Experience
AWS Academy (Cloud Internship Program)
Hyderabad, India
Cloud Engineer Intern
Jul 2024 – Sep 2024
Tech Stack: AWS EC2, AWS S3, AWS Lambda, AWS IAM, AWS CloudWatch, AWS VPC, AWS CLI, Python
- Deployed web applications to EC2 and S3 with automated health checks and monitoring, maintaining 99%+ uptime for hosted services and improving availability for end users.
- Designed VPC layouts and least-privilege IAM configurations to secure inter-service communication and reduce lateral access risks across development and staging environments.
- Performed CloudWatch log and metric analysis across 10+ metrics to detect anomalies and reduced incident response time by 50% through targeted alerting and log-based diagnostics.
- Built a serverless fraud-detection pipeline using Python and AWS Lambda with S3 triggers to enable near real-time processing of events and improve detection coverage.
- Configured S3 lifecycle and storage policies to tier and archive data, reducing storage costs by approximately 20% while enforcing retention and compliance requirements.
- Automated multi-service provisioning using AWS CLI and infrastructure-as-code patterns, cutting manual provisioning steps by ~70% and reducing mean time to repair by ~40%.
Innovates Technology Solutions
Hyderabad, India
Python Developer Intern
Feb 2024 – Apr 2024
Tech Stack: Python, Django, Pandas, NumPy, PostgreSQL, pytest, Docker, CI, CD
- Developed 5+ Python automation modules using Pandas and NumPy, eliminating ~40% of manual workflow steps and saving approximately 8 hours per week for operations teams.
- Engineered ETL data pipelines and reporting dashboards for three stakeholder teams, improving data freshness and enabling faster, data-driven decisions.
- Optimized 10+ PostgreSQL queries by analyzing execution plans and adding targeted indexes, reducing average query response times by 35%.
- Implemented a pytest-based regression testing suite and CI validation that identified and prevented bug regressions, reducing bug reintroduction by ~60%.
- Documented REST API specifications and created onboarding guides for new developers, cutting API onboarding time by ~30% and standardizing integration practices.
- Containerized services with Docker and integrated deployments into CI/CD workflows, decreasing deployment setup time from ~45 minutes to ~5 minutes for developer environments.
Projects
Full-Stack Python Web Application | 2024 – 2024
Tools Used: Django, Django REST Framework, PostgreSQL, Docker, pytest, JWT
- Architected a Django REST application with JWT authentication and 200+ API endpoints to support role-based access and modular services.
- Designed a normalized PostgreSQL schema spanning 10+ relational entities to ensure data integrity and efficient query patterns.
- Containerized the application with Docker and established test automation reaching 85%+ pytest coverage, reducing environment setup from ~45 minutes to ~5 minutes.
AWS Cloud Infrastructure Automation | 2024 – 2024
Tools Used: AWS Lambda, AWS EC2, AWS S3, AWS IAM, AWS CloudWatch, AWS CLI, Python
- Automated cloud provisioning using Python and AWS CLI, reducing manual configuration steps by ~70% and standardizing deployments across environments.
- Implemented S3-triggered Lambda pipelines to process events serverlessly and integrated CloudWatch metrics/alerts to monitor service health.
- Applied infrastructure-as-code practices for IAM and CloudWatch across multiple services to improve reproducibility and reduce MTTR by ~40%.
Education
MIC College of Technology
MCA – Computer Science • Andhra Pradesh, India • Sep 2023 – Apr 2025
Krishna University
B.Sc. Computer Science • Machilipatnam, India • Jun 2018 – Aug 2021
Certifications
AWS Academy Cloud Foundations — AWS Academy • 2024
Getting Started with GenAI (AWS) — AWS / Partner Program • 2024
Tata GenAI Powered Data Analytics – Forage — Forage • 2024
GenAI-Powered Data Analytics Job Simulation — Forage • 2025
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