Chris Egerton
Senior Software Engineer at Uber
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolChris Egerton is a Senior Software Engineer with 11 years of experience specializing in back-end systems and distributed data platforms, currently at Uber and a long-standing Apache Kafka committer and PMC member. He has a strong track record contributing to high-profile open source projects—Kafka, Confluent connectors, Schema Registry—focusing on Connect framework APIs, reliability fixes, testing, and storage integrations like HDFS, S3 and BigQuery. Chris blends pragmatic engineering and maintenance work (merging, refactoring, test additions) with feature development such as null-handling strategies for Elasticsearch and configurable encryption/compression for cloud sinks. His background is unconventional: a Bachelor of Music in cello and early retail experience, which surfaces in a dry self-description on GitHub as a “failed musician turned software janitor” and hints at a methodical, detail-oriented approach to keeping critical systems tidy and reliable.
11 years of coding experience
5 years of employment as a software developer
Mountain View High SchoolBachelor of Music, Cello, Bachelor of Music, Cello at Oberlin College
Github Skills (58)
s3-bucket10
elasticsearch-api10
api-rest10
avro10
kafka-connect10
docker10
bigquery10
back-end-development10
api-design10
restful-api10
testing10
amazon-elasticsearch10
configuration-management10
kafka10
hdfs10
Programming languages (12)
Github contributions (5)
wepay/kafka-connect-bigquery
May 2016 - Jun 2020
DEPRECATED. PLEASE USE https://github.com/confluentinc/kafka-connect-bigquery. A Kafka Connect BigQuery sink connector
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:1 review, 17 commits, 22 PRs in 4 years 1 month
Contributions summary:Chris primarily contributed to the development and maintenance of a Kafka Connect BigQuery sink connector. Their work involved initial connector and task code implementation, including schema and record conversion. They also refactored the code and added features like tarball packaging and support for publishing to Maven Central. Additionally, they focused on setting up and configuring the integration test environment using Docker and Gradle.
bigquerykafka-connect
apache/kafka
Feb 2017 - Jan 2023
Apache Kafka - A distributed event streaming platform
Role in this project:Back-end Developer
Back-end DeveloperContributions:1499 reviews, 230 commits, 410 PRs in 5 years 11 months
Contributions summary:Chris Egerton primarily contributed to the back-end development of Apache Kafka, focusing on enhancements to the Connect framework. His work included improvements to internal APIs, such as the `asJsonSchema()` and `asConnectSchema()` methods, and code adjustments in the Connect REST API. He also implemented critical fixes, such as addressing a vulnerability in the CLASSPATH environment variable and fixing a bug that prevented a connector from shutting down gracefully. His contributions demonstrate a strong understanding of the framework's architecture and APIs.
apache-kafkascalakafkajavastreaming
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