Joel Koshy
Senior Staff Software Engineer at Databricks
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJoel Koshy is a Senior Staff Software Engineer in the San Francisco Bay Area specializing in data infrastructure, currently driving platform work at Databricks with 12 years of industry experience. He has held senior roles at LinkedIn and contributed to powering LinkedIn’s real-time data pipeline while serving as a long-time Apache Kafka PMC member and committer. His open-source work touches core Kafka server components—implementing and refactoring request handling, purgatory mechanisms, and metrics while fixing deadlocks and tuning socket/consumer offset behavior. Joel pairs a PhD in Computer Science from UC Davis with hands-on production engineering, blending research rigor with pragmatic optimizations for low-latency, highly reliable distributed systems. Notably, many of his contributions address subtle, server-side timing and delayed-operation issues that materially improve stability at scale.
13 years of coding experience
20 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of California, DavisIndian Institute of Technology MadrasAbu Dhabi Indian School
Github Skills (10)
javas10
apache-kafka10
requesthandler10
back-end-development10
request-handler10
java10
scala210
scala10
zookeeper9
metric9
Programming languages (3)
Github contributions (5)
apache/kafka
Dec 2012 - Nov 2016
Mirror of Apache Kafka
Role in this project:
Back-end Developer
Back-end DeveloperContributions:59 commits, 5 PRs, 3 pushes in 3 years 11 months
Contributions summary:Joel contributed to the Apache Kafka project by implementing and refactoring features related to request handling and purgatory mechanisms within the core server components. Their work involved modifications to `RequestPurgatory`, `KafkaApis`, and other server-side classes, indicating a focus on optimizing request processing and managing delayed operations. They also addressed issues related to socket buffer sizes and consumer offset management, demonstrating a strong understanding of Kafka's internal architecture. Furthermore, the user implemented metrics and resolved deadlocks to enhance the stability and performance of the system.
apache-kafkakafka-consumerapachescalakafka
jjkoshy/kafka
Feb 2016 - Mar 2020
Mirror of Apache Kafka
Contributions:12 pushes, 3 branches in 4 years 2 months
kafka-streamsapache-kafkasinkstreamsapache
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