Gurugram, Haryana, India
I am a backend and cloud engineer focused on scalable serverless platforms and cloud optimization. With a strong foundation in AWS, Terraform, and Python, I specialize in replacing manual provisioning with code-driven consistency. At Nielsen, I architected a highly available AWS serverless ingestion portal and slashed cloud waste by 80%. Previously at Amazon, I enhanced system observability and designed extensible exception-handling frameworks. I excel in fast-paced environments where I can leverage C++, Python, and robust CI/CD pipelines to build reliable, high-performance backend systems.
• Architected the enterprise SEI Self‑Service Portal using Next.js and AWS Serverless, enabling secure ingestion of 500MB+ datasets while achieving 99.9% system availability. • Engineered a real‑time validation engine using AJV and TypeScript that enforces strict schema compliance, reducing downstream data errors by 85% and manual processing overhead by 80%. • Currently leading the portal’s migration to MAF (Nielsen’s internal React framework), coordinating across 3 teams to ensure architectural compatibility with enterprise standards. • Designed and implemented a Terraform‑based IaC pipeline, automating 90% of AWS deployments via GitLab CI/CD, replacing manual provisioning with code‑driven consistency across environments. • Proactively identified cloud wastage and executed a cleanup strategy, slashing AWS costs by 80% and KaaS cluster costs by an additional 30%. • Re‑architected the core AAC2ID3 onboarding package into a configuration‑driven model on Python and Kubernetes, streamlining the end‑to‑end client onboarding process by 70%. • Served as the team’s primary AWS support lead, unblocking colleagues on complex client onboardings and resolving ad‑hoc infrastructure issues across the team.
• Led a multi‑phase initiative to enable CloudWatch Anomaly Detection — migrating CDK, configuring IAM roles, and deploying configurable alarms. • Designed an extensible exception handling framework, routing failures to dedicated SQS DLQs by error code. • Migrated a core service with a DynamoDB‑backed feature flag for safe gradual rollout and instant rollback capability. • Increased test coverage from 33% to 91% by writing 50+ Mockito unit tests for a Spring‑based microservice.