Jae's expertise sits at the intersection of real-time data engineering and developer education. He has designed and built production systems across stream processing, data lakehouse architectures, data lineage, and platform observability, with a particular focus on making complex distributed systems resilient and maintainable at scale. At Factor House, he translates that hands-on experience into technical content and conference talks that help engineers get more out of Apache Kafka and Apache Flink.

Jae currently leads Developer Experience at Factor House. Before that, he was a Senior Data Engineer at Simple Machines, working on a data harmonisation project for Insurance Australia Group. Prior to that, he spent two and a half years as a Data and Cloud Consultant at Cevo Australia, delivering end-to-end data lake, data warehouse, and real-time transformation projects for clients across construction, financial services, and energy. His earlier career spans senior engineering and data science roles at CloudWave, Network 10, CoreLogic Australia, and Xaxis Digital.

CKAD: Certified Kubernetes Application Developer

Build and Deploy a Generative AI Solution Using a RAG Framework

Master of Actuarial Studies (Extension), University of New South Wales

Master of Economics, Seoul National University

Bachelor of Economics, Kyung Hee University