About

I design and run large-scale data platforms and backend systems—streaming and batch pipelines, microservices, and AWS infrastructure—with a bias toward performance, reliability, and cost.

• Operate distributed systems at 10+ TB/day with 99.9% availability
• Deep in Spark, Delta Lake, Kafka, Spring Boot, and AWS
• Track record of measurable gains: faster queries, lower latency, lower cloud spend
• Lead teams through architecture, delivery, and mentoring

Highlights

• Platform modernization — Hadoop/Hive → Delta Lake for 500+ datasets; ~40% infrastructure cost reduction
• Real-time data — Kafka + Spark streaming with ~70% lower ingestion latency
• Microservices — Monolith broken into 20+ Spring Boot services; deployments from weeks to hours
• Reliability & security — DR targets of 15-min RPO / <1-hr RTO; led remediation of 40+ critical vulnerabilities