Headline

Backend & Cloud Engineer @ KPIT | Python | Scalable APIs, Performance Optimization, AWS Cloud

About

Python Backend & Cloud Engineer with 2+ years of experience designing, optimizing, and scaling backend systems for data-intensive, production-grade applications. I specialize in building high-performance RESTful APIs, handling large payloads, and optimizing database performance using MySQL and MongoDB through efficient data modeling, bulk operations, and advanced aggregation pipelines. I have hands-on experience designing backend architectures and microservices, with a strong focus on performance tuning, scalability, and reliability. On the cloud side, I build cloud-native and event-driven workflows on AWS using Lambda, Step Functions, S3, and related services. Comfortable working in Linux environments, debugging production issues, and collaborating with cross-functional teams while following SDLC best practices and clean coding standards. I enjoy solving complex backend problems, optimizing systems at scale, and building reliable cloud-based solutions. Tech: Python | Flask | MongoDB | MySQL | AWS (Lambda, S3, Step Functions) | REST APIs | Linux

Location

Karnataka

AI stack

cursor

github copilot

ollama

replit

Work experience

Software Engineer at KPIT, May 2025 - Present · 1 yr, Bengaluru, Designed and optimized backend data schemas and architectures using MySQL and MongoDB to support large-scale data uploads, versioning, and historical tracking. Improved backend performance by optimizing REST APIs for large payloads using pagination, response compression, bulk database operations, and advanced MongoDB aggregation pipelines. Refactored legacy backend code, eliminating nested loops and redundant database queries, resulting in significant improvements in API response time and data processing efficiency. Built scalable microservices and backend workflows to support high-throughput operations, including bulk file uploads and 1GB+ structured data downloads. Implemented cloud-native solutions on AWS using Lambda, Step Functions, S3, EventBridge, and SQS, including storage lifecycle management and automated cleanup with database tracking. Applied indexing strategies in MySQL and MongoDB to optimize query performance across large datasets. Worked extensively in Linux production environments, debugging issues, analyzing logs, and collaborating with cross-functional stakeholders while following SDLC best practices and Git-based workflows. Recognition: 🏆 Distinguished Contributor Award for implementing mission-critical infrastructure automation framework 🏆 2x High Flyer Awards for sprint excellence and cross-functional collaboration ⭐ 7 consecutive client ratings of 4.5+/5.0 for consistent delivery excellence Tech: Python, Flask, MySQL, MongoDB, AWS (Lambda, S3, Step Functions, EventBridge, SQS), Linux, Git

Trainee at KPIT, Jan 2024 - May 2025 · 1 yr 5 mos, Supported senior engineers in debugging backend issues, validating deployments, and maintaining production and staging environments. Developed and enhanced Python-based backend APIs to fetch and process data from databases for internal tools and workflows. Refactored and restructured legacy API code to improve readability, maintainability, and adherence to coding standards. Gained hands-on exposure to cloud deployments, CI/CD pipelines, and version control using Git. Created and maintained technical documentation for backend workflows and support procedures, improving onboarding and team knowledge sharing.

Education

Bachelor of Engineering - BE, Computer and Information Sciences, General, Mangalore Institute of Technology and Engineering, Mangalore, India