Jeffrey Chu

At Capital One, I lead data architecture and platform strategy for distributed, event-driven cloud systems supporting account and transaction data. I standardize data quality, contracts, schema evolution, lineage, metadata, IAM/RBAC, and PII protection across governed datasets.

I designed a real-time transaction platform with Amazon MSK, Kafka Streams, and Spark that sustained 15,000 events per second with sub-two-minute end-to-end latency. I also built Redshift data marts for transaction processing, risk, fraud and AML, Customer 360, analytics, and regulatory reporting.

Previously at Grovo by Cornerstone OnDemand, I engineered RabbitMQ pipelines processing three million learning events daily and built Spark ETL pipelines into Snowflake. I strengthened operational reliability through Prometheus, Grafana, Terraform, Docker, Kubernetes, and automated CI/CD.

I bring hands-on Scala, Python, Java, SQL, Spark, Kafka, and AWS experience alongside SLO-driven reliability, data governance, and cross-team technical leadership.