Summary
Shreyesh Arangath is a Senior Software Engineer at LinkedIn with seven years of experience building and scaling data infrastructure and distributed systems. He has driven production improvements across Spark, Iceberg, Arrow, and DataFusion—leading native execution adoption that cut runtime by ~30% and scaling an internal Spark orchestration platform to over 1M jobs/day. He designs pragmatic, disruption-aware scheduling and zero-copy inference paths that reduce overhead and eliminate intermediate materialization for ML workflows. An active Apache contributor and committer (Apache Auron, Iceberg, DataFusion), he bridges upstream open-source work with internal productization. Based in San Francisco, he pairs deep systems engineering with measurable business impact—saving exabytes of compute-hours and years of engineering time through optimization and tooling.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS , Computer Science, Bachelor of Science - BS , Computer Science at Texas Tech University
Marathi, Hindi, English