At JPMorgan Chase & Co., I build backend platforms that move, search, and operate enterprise data at scale. I architected a Java and Apache Spark replication platform synchronizing 130+ live MongoDB and Oracle tables into Databricks, including full loads exceeding 100M records.
I helped replace slow multi-table searches with an Elasticsearch-backed GraphQL API, reducing response times from minutes to about one second for five internal teams. I own Elasticsearch and Kubernetes infrastructure, indexing, query design, and near-real-time synchronization pipelines.
I’ve designed distributed services for certification and migration workflows handling 100K+ requests per day, then reduced peak traffic by nearly 70% through intelligent batching and request orchestration. I also built Kubernetes deployment workflows that reduced release effort from an hour to under five minutes.
I bring production ownership to the systems I build, from Temporal infrastructure on Kubernetes to incident response, observability, and automated recovery. My work includes traffic-control tooling that reduced incident mitigation from about 60 minutes to under three, plus migrations completed with zero data loss and minimal downtime.
