Shahar Epstein
Apache Airflow PMC Member at The Apache Software Foundation
Israel
Summary
🤩
Rockstar🎓
Top SchoolShahar Epstein is an MLOps engineer with 11 years of experience who currently drives production ML workflows at NCR Voyix while serving as an Apache Airflow committer and PMC member. He brings deep back-end and data engineering expertise to workflow orchestration, contributing bug fixes and feature enhancements to the widely used Apache Airflow project—particularly improving BigQuery integration and operator behavior. Trained as a mechanical engineer at Technion (MSc, BSc), he blends rigorous systems thinking with hands-on cloud and data-platform engineering. Notably, his open-source work fixes subtle deferred-mode and data-type issues that improve reliability for BigQuery users at scale.
11 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.) Mechanical Engineering, Master of Science (M.Sc.) Mechanical Engineering at Technion - Israel Institute of Technology
English, Hebrew
Github Skills (12)
google-cloud-platform10
bigquery10
python10
airflow10
gcp10
data-pipelines9
data-engineering9
data-pipeline9
sql7
apidoc7
api7
devops5
Programming languages (8)
Github contributions (5)
apache/airflow
Nov 2022 - Mar 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:598 reviews, 254 PRs, 133 pushes in 2 years 4 months
Contributions summary:Shahar's contributions primarily involve enhancements and bug fixes related to the Google Cloud BigQuery integration within Apache Airflow. They added functionality to correctly assign the "datasetReference" attribute and updated documentation. The user also addressed a bug in the `BigQueryGetDataOperator` in deferred mode and fixed an incorrect data type conversion. They are also contributing to improve the bigquery integration operators and also add support for BigQuery job detail link.
monitorpythonschedulerapacheprogrammatically
shahar1/airflow
Nov 2022 - Mar 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:4 PRs, 757 pushes, 194 branches in 2 years 4 months
monitorapacheprogrammaticallyapache-airflowairflow
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