Summary
Jack Ye is a software engineer with four years of professional experience building scalable data systems and table formats for modern data lakes. He has driven integrations of table formats like Iceberg across major analytics services at AWS—leading SageMaker Lakehouse, S3 Tables, and Athena data lake integrations—and now works on the Lance table and file format and its ecosystem. An active Apache contributor and PMC/PPMC member, he blends production engineering with open-source stewardship to ensure interoperability across Spark, Trino, EMR, and cloud storage. Trained in CS and statistics at UC Berkeley, Jack pairs a research-informed perspective (from early ML/audio work at ICSI) with hands-on systems design, making him adept at both performance tuning and cross-project coordination.
4 years of coding experience