Summary
Chris Trezzo is a Senior Staff Software Engineer in San Francisco with 11 years of experience building and operating large-scale stateful distributed systems across companies like LinkedIn and Twitter. He specializes in key-value stores, file systems, distributed scheduling, streaming and batch data processing, log ingestion, replication for ML/data pipelines, and data lifecycle management. A long-time Apache Hadoop committer and open-source contributor, he brings deep distributed-systems fundamentals together with hands-on production experience. Chris’s background spans research and industry—from graduate research at UC San Diego to shipping systems at Salesforce and Twitter—giving him a rare blend of academic rigor and operational craft. He consistently focuses on durable, scalable infrastructure that bridges low-level storage semantics with high-level data processing needs.
11 years of coding experience
15 years of employment as a software developer
University of California, San Diego
University of California, Irvine