Jeff Klukas
Software Engineer at Netflix
Columbus, Ohio, United States
Summary
🤩
Rockstar🎓
Top SchoolJeff Klukas is a software engineer with 14 years of experience building reliable, scalable data and backend systems, currently focusing on ML build and productivity tooling at Netflix. With a PhD in physics and prior work on the CMS experiment that helped find the Higgs particle, he blends deep scientific rigor with practical engineering leadership across companies like Google and Mozilla. He has led large data-platform migrations, delivered multi-million-dollar cost optimizations in BigQuery, and shipped streaming and ETL systems using Kafka, Beam, and Dataflow. An active open-source contributor, Jeff has improved projects ranging from Apache Kafka and Beam to the Sphinx documentation generator and a Redshift SQLAlchemy dialect, demonstrating attention to both performance and documentation quality. Based in Columbus, Ohio, he pairs hands-on implementation skills with cross-team advocacy for security, compliance, and developer productivity.
14 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of Wisconsin-MadisonLanguage Arts & Culture, Language Arts & Culture at School for International TrainingBS Physics & French, BS Physics & French at Wittenberg University
French
Stackoverflow
1,287reputation
116kreached
31answers
10questions
google-bigquery
top-5%
Github Skills (37)
reflection10
restructuredtext10
python10
sphinx10
testing10
kafka10
reflect10
kafka-streams10
java10
doc10
javas10
amazon-redshift10
latex10
exception-handling10
sqlalchemy10
Programming languages (27)
Github contributions (5)
sqlalchemy-redshift/sqlalchemy-redshift
Aug 2015 - Nov 2021
Amazon Redshift SQLAlchemy Dialect
Role in this project:
Back-end Developer
Back-end DeveloperContributions:46 reviews, 123 commits, 84 PRs in 6 years 3 months
Contributions summary:Jeff primarily contributed to the development of the SQLAlchemy dialect for Amazon Redshift. Their work involved adding support for various Redshift-specific features like reflection, interleaved sort keys, and views. They also focused on improving the reflection capabilities of the dialect and adapting the code to support changes in SQLAlchemy versions. Furthermore, the user was involved in adding and improving tests for the Redshift dialect.
pythondialectsqlalchemyredshiftpylint
apache/beam
Sep 2018 - Feb 2022
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 17 commits, 23 PRs in 3 years 5 months
Contributions summary:Jeff contributed to the Apache Beam project by implementing and enhancing core Java SDK features. Their work involved adding support for composite transform lambdas and a named variant of the compose function. Furthermore, the user addressed issues related to exception handling within `MapElements` and `FlatMapElements` transforms, including a new exception handling interface and class. Several commits focused on improving the existing codebase, resolving bugs, and enhancing the capabilities of existing functionality within the Beam framework.
golangpythonstreaming-databeambatch
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