Senior Full-Stack Python Developer (AWS, Kubernetes)

ARUN KUMAR CHINTALA

Alpharetta, Georgia 334-***-**** *********.*****@*****.*** Linkedin

SUMMARY

Software Engineer with 4+ years of full-stack Python expertise in the pharmaceutical and IT consulting sectors. Specializes in Python, Django, FastAPI, React, and AWS to build scalable systems. Engineered backend optimizations that reduced data processing time from 10 minutes to 90 seconds. Successfully led a team of 3 developers to deliver projects ahead of schedule, demonstrating strong collaboration and technical leadership in cross-functional Agile environments. PROFESSIONAL EXPERIENCE

Full Stack Python Developer March 2024 – Present

McKesson Georgia USA

● Developed scalable backend microservices using Python and FastAPI to handle increased transaction volume, supporting a user base growth from 500 to 2,000 active accounts.

● Built responsive front-end features with React and Redux for a supply chain dashboard, improving data visibility and reducing user task completion time by 15 seconds per action.

● Containerized 3 legacy applications using Docker and deployed them on AWS ECS, cutting server costs by $18,000 annually and standardizing the development environment.

● Engineered a secure REST API with JWT authentication for a new patient data module, enabling secure access for over 200 internal healthcare providers daily.

● Optimized database performance by refactoring complex SQL queries and implementing Redis caching, reducing data fetch latency from 2 seconds to 500 milliseconds for key reports.

● Automated the CI/CD pipeline using GitHub Actions and Terraform for infrastructure provisioning, reducing the average deployment cycle from 4 hours to under 30 minutes. Full stack Python Developer November 2019 – May 2022 Dell Technologies India

● Developed a multi-tier web application using Django and React on Azure, serving data to over 10,000 monthly internal users and supporting a platform adoption growth of 5,000 new users.

● Engineered a real-time notification system with Apache Kafka and Django, processing a continuous stream of 5,000 system events per hour for critical infrastructure alerts.

● Replaced a legacy REST endpoint with a consolidated GraphQL API for the customer portal, reducing front-end network requests by 200 calls per user session on complex data pages.

● Expanded test coverage for a critical inventory management module by implementing a comprehensive TDD framework with JUnit and Selenium, identifying 150 critical bugs before production and increasing test cases from 500 to 1,200.

● Led a team of 3 junior developers in an Agile sprint environment using Jira, consistently delivering 4 major product increments 2 weeks ahead of the scheduled deadline.

● Achieved zero-downtime for all production releases by fully containerizing the application stack with Docker and managing orchestration with Kubernetes clusters, completing 50+ automated deployments.

● Reduced report generation runtime from 10 minutes to 90 seconds by developing data aggregation features with MongoDB and optimizing database queries.

● Designed a new microservice using Spring Boot and Flask to decompose a monolithic application, implementing monitoring with Prometheus and Grafana, improving system observability and reducing critical incident response time from 1 hour to 10 minutes. TECHNICAL SKILLS

● Programming Languages: Python, SQL, JavaScript, TypeScript, Java

● Backend Frameworks: Django, Flask, FastAPI, Spring Boot, REST APIs, GraphQL

● Frontend Technologies: React, HTML5, CSS3, Bootstrap

● Databases & ORMs: PostgreSQL, MySQL, MongoDB, SQLAlchemy

● Cloud Platforms: AWS (EC2, S3, Lambda, RDS, API Gateway), GCP, Azure

● DevOps & Infrastructure: Docker, Kubernetes, Terraform, Jenkins, CI/CD Pipelines

● Message Brokers & Caching: Apache Kafka, RabbitMQ, Redis

● Testing & QA: PyTest, JUnit, Selenium, Test-Driven Development (TDD)

● Methodologies: Agile/Scrum, Microservices Architecture, System Design, Domain-Driven Design

● Tools & Monitoring: Git, Jira, AWS CloudWatch, Prometheus, Grafana PROJECTS

Real-Time Inventory Tracking System

● Decreased data processing latency from 2 seconds to 200 milliseconds for real-time portfolio analytics by engineering a FastAPI microservice with Redis caching and Kafka, handling a stream of 10,000+ events per minute. Automated Customer Ticket Classification Platform

● Reduced manual ticket sorting effort by 25 hours per week for the support team by developing and deploying a full-stack Django and React application with an integrated ML model that automatically classifies 5,000+ tickets daily. EDUCATION

Auburn University at Montgomery Montgomery, AL

Master of Science in Management and Information Systems June 2022 – December 2023 Sri Indu College of Engineering and Technology Hyderabad, India Bachelor of Technology in Electronics and Communication Engineering June 2016 - November 2020

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