At Fidelity International, I build event-driven AWS serverless pipelines that process millions of financial records daily with near-zero manual intervention. I also develop high-performance Python and FastAPI microservices for real-time financial data processing.
I've created reconciliation frameworks that reduced data discrepancies by approximately 20%, and reusable Terraform modules that cut environment provisioning time by 60%. My containerized services on AWS Fargate, Docker, and ECS increased release frequency threefold through Jenkins-driven testing, image scanning, and blue/green deployments.
I work across SQS/SNS, IBM MQ, DynamoDB, Step Functions, CloudWatch, ELK, and LUSID to build resilient financial workflows, observability, and reliable integrations. I also mentor junior engineers on AWS and Python practices while contributing through Agile planning, reviews, and technical documentation.
Previously at KCC Software, I built Spring Boot REST APIs and microservices for an e-learning platform, improving API response time by 25% through query tuning. I hold AWS Solutions Architect, Data Engineer, and Cloud Practitioner certifications and have also built a GenAI code recommendation tool using AWS Bedrock and LLM APIs.
