Full-Stack Python Developer with AWS Expertise

Siddartha Reddy Chinthala

*********@**********.*** +1-513-***-**** Ohio, USA LinkedIn GitHub SUMMARY

Results-driven Full Stack Python Developer with 2+ years of experience designing and delivering scalable applications within enterprise and cloud-based environments. Skilled in developing secure APIs, enhancing backend efficiency, and designing responsive interfaces using Python, Django, React, and AWS. Demonstrated success in streamlining deployments through CI/CD, strengthening system stability, and improving overall application performance. Experienced in converting complex business requirements into practical technical solutions while thriving in Agile teams. Committed to engineering best practices, high-performance architectures, and building dependable platforms that enable data-informed strategies and long- term organizational growth.

TECHNICAL SKILLS

Programming & Core Technologies: Python, JavaScript, TypeScript, SQL, HTML5, CSS3, Bash, REST APIs, GraphQL, JSON, YAML, Git (GitHub, GitLab, Bitbucket)

Backend Engineering: Django, Flask, FastAPI, DRF, Microservices, AsyncIO, Celery, WebSockets, SQLAlchemy, Django ORM, JWT/OAuth2, RBAC, caching, scalable API design

Frontend Development: React.js, Next.js, Redux Toolkit, Tailwind CSS, Bootstrap, Material UI, Axios, responsive UI development, SPA architecture, performance optimization Cloud & DevOps: AWS (EC2, S3, RDS, Lambda, IAM, CloudFront), Docker, Kubernetes, Terraform, Nginx, Gunicorn, CI/CD

(GitHub Actions, Jenkins), Linux administration, infrastructure automation Databases & Messaging: PostgreSQL, MySQL, MongoDB, Redis, RabbitMQ, query optimization, data modeling, high-availability design

Testing, Data & Security: PyTest, Selenium, Playwright, Postman, Swagger/OpenAPI, Pandas, NumPy, ETL fundamentals, OWASP practices, TLS/SSL, secrets management, Agile collaboration (Jira, Confluence) PROFESSIONAL EXPERIENCE

Software Engineer Intern, DXC Technology Jun 2025 – Present USA

Developed Python-based data preprocessing pipelines using Pandas and NumPy to standardize fragmented operational datasets, reducing data inconsistencies by 30% and improving reliability for internal analytics experiments.

Led operations with senior engineers to prototype lightweight machine learning models using scikit-learn, enabling early prediction insights that supported data-driven decision-making during internal proof-of-concept initiatives.

Automated recurring dataset preparation workflows with reusable Python scripts, cutting manual effort by 40% and accelerating feature-engineering timelines for experimentation cycles.

Designed visualization reports with Matplotlib to highlight performance trends and model behavior, helping stakeholders interpret analytical outputs faster during sprint reviews.

Executed comprehensive API validation through Postman, identifying integration gaps early and improving service communication stability prior to deployment into shared testing environments.

Authored structured technical documentation in Confluence and maintained Jira updates, strengthening sprint transparency and ensuring knowledge continuity across distributed Agile teams.

Collaborated in code reviews and debugging sessions to resolve data-processing defects, contributing to improved pipeline reliability and reinforcing engineering best practices within the internship team. Software Engineer, TCS Jan 2023 – Jul 2024 India

Engineered scalable backend services using Django and PostgreSQL for enterprise applications, optimizing database queries and caching layers to improve API response times by 35% under high transaction loads.

Architected dynamic front-end interfaces with React.js and Redux Toolkit, enhancing application responsiveness and reducing page load latency by 25%, resulting in improved user engagement metrics.

Implemented secure authentication and authorization mechanisms leveraging JWT and RBAC, strengthening access governance and aligning platform security with enterprise compliance requirements.

Containerized microservices with Docker and established CI/CD pipelines via GitHub Actions, decreasing deployment failures by 40% while enabling faster, repeatable release cycles.

Led migration of legacy workloads to AWS EC2 and RDS, increasing infrastructure scalability and maintaining 99.9% availability during peak usage periods.

Optimized UI performance using Tailwind CSS and streamlined API consumption patterns, delivering faster rendering speeds and creating a more consistent cross-device user experience.

Elevated release quality by building automated test suites with PyTest and enhancing logging frameworks, reducing production defects and accelerating root-cause analysis for critical incidents. EDUCATION

Master of Science, University of Cincinnati Aug 2024 - Present Cincinnati, USA Computer Science

Bachelor of Engineering, MallaReddy College of Engineering and Technology Aug 2020 – Apr 2024 Hyderabad, India Computer Science and Engineering (AI & ML)

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