Kamil Breguła

Apache Airflow PMC Member at The Apache Software Foundation

Warsaw, Masovian Voivodeship, Poland
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Summary

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Rockstar
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Top School
Kamil Breguła is a senior software engineer and Apache Airflow PMC member with five years of professional experience building scalable data and cloud-native systems from Warsaw. He has led major scheduler and DAG-processing optimizations in Airflow, designed its REST/OpenAPI surface, and reviewed thousands of PRs—ranked among the top global contributors. At Snowflake he drove the GA release of Data Studio Connector, modernized documentation infrastructure, and owned Kubernetes-based operations and embeddings-driven search for Streamlit Cloud. His background spans provider architectures, security-focused platform work (threat modeling, SECRET object, gatewayless external functions) and hands-on DevOps for enterprise data platforms. An active open-source full-stack contributor, he also improved Streamlit UI and pydeck chart tooling, showing comfort across front-end, backend, and infra layers.
code5 years of coding experience
job7 years of employment as a software developer
bookInżynier (Inż.), Informatyka, Inżynier (Inż.), Informatyka at Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
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Github Skills (9)

streamlit10
python10
react10
testing9
uid8
front-end-development8
ui-design8
data-science7
data-analysis7

Programming languages (6)

TypeScriptJavaJavaScriptGoJupyter NotebookPython

Github contributions (5)

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streamlit/streamlit

Aug 2022 - Jan 2023

Streamlit — A faster way to build and share data apps.
Role in this project:
userFull-stack Developer
Contributions:202 reviews, 155 commits, 121 PRs in 5 months
Contributions summary:Kamil primarily focused on enhancing the user interface and functionality of the Streamlit application. Their work included adding email address linking to buttons, fixing the local E2E environment, improving compatibility with pydeck, and adding tests for pydeck charts with tooltips. They also implemented consistent type return values for number inputs after reruns and refactored the st.code and st.divider features. These changes involved modifications to both front-end and back-end components.
data-analysispythondata-sciencedeep-learningfastest
Snowflake-Labs/beam

Feb 2022 - Sep 2022

Apache Beam is a unified programming model for Batch and Streaming
Contributions:3 PRs, 27 pushes, 8 branches in 7 months
beambatchstreamingapacheprogramming-model
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Kamil Breguła - Apache Airflow PMC Member at The Apache Software Foundation