At Goldman Sachs, I build low-latency, high-availability systems for real-time electronic trading and production diagnostics. I’ve upgraded algorithmic trading execution systems from Java 8 to Java 21 and designed APIs that improve interoperability across trading platforms.
I architected a Kafka-based ingestion pipeline that brought diagnostics ticket data into the enterprise data lake in near real time, reducing storage costs by 15%+ and improving analytics access.
I led the migration of 15+ Sybase IQ tables to PostgreSQL, cutting data latency by over 99% and enabling real-time analytics. I’ve also built Spring Boot APIs to resolve MongoDB and PostgreSQL consistency issues and an Angular entitlement UI that reduced provisioning from 24 hours to seconds.
I enjoy solving production-scale reliability and performance challenges alongside operations, infrastructure, and application teams. My work includes disaster-recovery testing across 20+ server nodes and scalable search and mailbox-ingestion capabilities that reduced support email traffic by 90%.
