Mateusz Henc
Senior Software Engineer at Google
Warsaw, Masovian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolMateusz Henc is a Senior Software Engineer based in Warsaw with nine years of experience building cloud-native infrastructure and workflow platforms. At Google he works on Cloud Composer, applying deep backend and DevOps expertise to improve orchestration, reliability, and integration with Google Cloud services. He is an active contributor to the widely used Apache Airflow project, where his work on Secret Manager error handling, scheduler improvements, and callback persistence has hardened real-world DAG processing and executor behavior. Trained at Politechnika Warszawska through master’s level studies, he combines solid engineering fundamentals with practical production experience to solve distributed-systems challenges. He often focuses on the less visible but critical plumbing—scheduler logic, permission edge cases, and durable callback delivery—that keeps complex workflows running smoothly.
9 years of coding experience
Warsaw University of Technology
Github Skills (14)
apache-airflow10
google-cloud-platform10
orchestration10
workflow-engine10
orchestra10
python10
data-engineering10
gcp10
devops9
sqlalchemy9
docker8
kubernetes8
kubernetes-pods8
dockers8
Programming languages (5)
Github contributions (5)
apache/airflow
Jun 2020 - Dec 2023
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:108 reviews, 38 PRs, 154 comments in 3 years 6 months
Contributions summary:Mateusz contributed to the Apache Airflow codebase by addressing issues related to Google Cloud Secret Manager integration, specifically handling permission errors. They moved zombie detection logic to the SchedulerJob for improved workflow management. Furthermore, the user introduced "Callbacks Sink" classes to enhance the sending of callbacks and incorporated database storage for callbacks when the `standalone_dag_processor` config is enabled. The user also implemented the `send_callback` method for CeleryKubernetesExecutor and LocalKubernetesExecutor.
monitorpythonschedulerapacheprogrammatically
mhenc/airflow
Aug 2020 - Jan 2024
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:450 pushes, 62 branches in 3 years 5 months
monitorapacheprogrammaticallyapache-airflowairflow
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