Stefan Krawczyk
Principal CEO at Dagworks
Georgetown, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolStefan Krawczyk is the CEO of DAGWorks Inc. and a San Francisco–based technology leader with a decade of experience building data tooling and engineering teams. He co-created the Hamilton and Burr open-source projects that help data scientists define testable, modular, self-documenting dataflows with built-in lineage and metadata, and he remains a hands-on contributor. Recent work includes improving Hamilton’s developer UX by enabling DAG rendering in notebooks, returning graphviz objects from drivers, and adding GeoPandas support—signals that he focuses on both scalability and everyday usability. He blends product leadership with practical data engineering chops, turning complex dataflow requirements into auditable, production-ready solutions.
11 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Victoria University of WellingtonMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Github Skills (16)
dataframes10
pandas10
python10
data-science10
dataframe10
data-engineering10
data-analysis10
graphviz9
data-pipelines9
visualizations9
data-pipeline9
visualization9
etl9
geopandas8
documentation7
Programming languages (13)
Github contributions (5)
DAGWorks-Inc/hamilton
Jan 2023 - Mar 2023
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Role in this project:
Data Engineer
Data EngineerContributions:60 releases, 1058 reviews, 66 commits in 1 month
Contributions summary:Stefan made several changes to enhance the visualization capabilities of driver functions within the Hamilton dataflow framework, enabling the rendering of the DAG in notebooks. These changes included modifying driver functions to return a graphviz object, making file saving optional, and updating example notebooks to reflect these changes. The user also addressed a comment and reference for visualization install instructions for the framework, and explicitly added support for GeoPandas dataframes. These updates suggest contributions towards improving the usability and adaptability of the Hamilton framework for different data-related contexts.
dagdata-analysisdata-engineeringdata-sciencedataframe
stitchfix/hamilton
Jul 2019 - Jan 2023
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
Contributions:12 releases, 356 reviews, 307 commits in 3 years 6 months
micro-frameworkpythonml-modelspolarsdag
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