Headline

Backend Engineer | Python, FastAPI, Kafka, AWS | Building scalable microservices & real-time data pipelines. 2.5+ yrs delivering GxP-compliant, high-performance systems across logistics & retail domains.

About

Backend Engineer | Python · FastAPI · Kafka · AWS | Building Scalable, High-Performance Systems I build backend systems that don't just work - they perform under pressure. With 2.5+ years of experience at Altimetrik, I've delivered production-grade microservices, real-time data pipelines, and RESTful APIs across two demanding domains - logistics (Freight Verify) and retail (Lululemon) - serving global clients with zero tolerance for downtime or data inconsistency. Here's what I bring to the table: Performance-first APIs - Designed FastAPI microservices achieving ~0.3s response latency under concurrent load, with Redis caching reducing DB round-trips by ~40% Real-time data at scale - Built Kafka-powered ingestion pipelines and 15+ Airflow DAGs processing millions of records daily with >99% accuracy Cloud-native thinking - Deployed and scaled systems on AWS (S3, Lambda, EC2, RDS) with load balancing, CI/CD pipelines, and SonarQube-enforced code quality Reliability by design - ACID-compliant transactions, GxP-compliant audit trails, OAuth2/Auth0 security, and RDBMS-backed data integrity across distributed systems I thrive in fast-paced agile environments, enjoy working directly with clients, and care deeply about writing clean, maintainable code that scales. Currently exploring senior backend engineering opportunities where I can architect systems end-to-end from API design to cloud infrastructure. Open to connect and collaborate — let's build something great.

Location

Bengaluru

Work experience

Associate Engineer at Altimetrik, Jan 2023 - Present · 3 yrs 7 mos, Chennai, Project: Freight Verify | Backend Engineer - Logistics Domain Python · FastAPI · PostgreSQL · Redis · MongoDB · AWS · Auth0 Built and maintained microservices-based backend systems for a US-based real-time shipment tracking platform. Key Highlights: - Designed 10+ RESTful APIs achieving ~0.3s response latency under concurrent load - Enforced ACID-compliant PostgreSQL transactions ensuring 99.9% data integrity - Integrated Redis caching, cutting DB round-trips by ~40% - Implemented AWS load balancing to eliminate single points of failure - Delivered GxP-compliant workflows with full audit trails meeting regulatory standards - Built mobile app PoC with Auth0 OAuth2 for secure, role-based access control - Resolved 20+ critical production bugs in direct collaboration with US client stakeholders Project: Lululemon | Data Engineer - Retail Domain Kafka · Airflow · PostgreSQL · Snowflake · AWS · SonarQube Engineered large-scale retail data reconciliation and quality pipelines for one of North America's leading athleisure brands. Key Highlights: - Processed millions of retail records daily with >99% cross-system accuracy - Built Kafka pipelines sustaining sub-second message delivery latency at scale - Managed 15+ Airflow DAGs with SLA monitoring and automated breach alerting - Applied ACID transactions across PostgreSQL to prevent data loss during bulk ops - Integrated SonarQube into CI/CD pipelines, enforcing code quality and reducing technical debt - Delivered GxP-aligned reconciliation pipelines supporting regulatory compliance - Leveraged AWS S3, Lambda, EC2 + Snowflake for scalable analytical infrastructure

Education

Bachelor's degree, Information Technology, Sathyabama Institute of Science & Technology, Chennai

Sainik School Amaravathinagar