Jeff Evans is a Staff Software Engineer with 13 years of experience building resilient data and cloud-native systems, currently contributing to AI/ML efforts at Confluent in Chicago. He brings deep expertise across Big Data stacks—from Hadoop and Spark to Kafka and secure compute in cloud environments—and a track record of improving tooling, CI, and release processes to boost team throughput. Previously a tech lead at StreamSets and a senior backend engineer at Metabase, he blends hands-on coding (Java/Scala/Python) with careful architectural thinking and end-to-end ownership. An active open-source contributor, he’s fixed real-data issues in the popular Metabase project, showing attention to correctness in SQL and sample datasets. Known for leaving code and docs better than he found them, he routinely untangles thorny production problems and documents solutions so teams don’t repeat the same mistakes.
13 years of coding experience
20 years of employment as a software developer
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at University of Illinois Urbana-Champaign
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Role in this project:
Back-end Developer
Contributions:42 releases, 404 reviews, 188 commits in 1 year 1 month
Contributions summary:Jeff contributed to fixing issues and improving the sample dataset data within the Metabase repository. They addressed discrepancies in the sample data by updating total calculations within both EDN and H2 files. The user's work involved modifying SQL queries to correct the data. They demonstrated skills in working with data structures and SQL-based database systems.
Contributions:21 commits, 18 PRs, 21 pushes in 7 months
prestodocker-imagedockermetabase
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