Uwe Korn
Karlsruhe, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolUwe Korn is a data engineer and scientist with 17 years of experience building scalable Python-based data systems and tooling from Karlsruhe, Germany. As CTO @Quantco and a core maintainer on projects like conda-forge, he blends hands-on engineering with infrastructure and automation expertise—improving CI/CD, packaging, and cross-platform builds. Uwe is an active Apache Arrow and Parquet PMC contributor who has worked on performance-sensitive Arrow↔Parquet interop and on improving Parquet/Arrow handling across pandas, Dask, and DataFusion. His work often sits at the intersection of data formats, high-performance IO, and reproducible environments, reflected in contributions to pandas, mamba, and repo2docker. He brings a practical QA and test-automation mindset (mamba) and a strong documentation/UX focus (conda-forge, BinderHub) that helps make complex systems reliable and approachable. Colleagues know him for quietly fixing tricky memory and compatibility issues that unlock faster, more robust analytics pipelines.
17 years of coding experience
Distinction, Distinction at University of Bristol
English, German, French
Stackoverflow
8,458reputation
977kreached
127answers
2questions
compression
top-5%
apache-spark
top-5%
csv
top-1%
python
top-5%
hive
top-5%
pandas
top-5%
Github Skills (101)
dependency-management10
conda-build10
python10
testing10
bash10
cmake10
apache-arrow10
package-manager-tool10
javas10
automation10
build-automation10
file-processing10
parquet10
conda-forge10
javascript10
Programming languages (21)
Github contributions (5)
apache/arrow
Mar 2016 - Feb 2022
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:79 reviews, 498 commits, 824 PRs in 6 years
Contributions summary:The user, Uwe L. Korn, appears to be a back-end developer contributing to the Apache Arrow project, with a focus on improving Parquet and Arrow interoperation. They implemented functionality to convert between Arrow and Parquet data structures, including adding support for writing and handling various data types and structures, like those for `DictionaryArray` and `List[Bool]` arrays. Their contributions also included fixing issues related to memory allocation and handling, and addressing performance in reading Arrow data.
memorymulti-languagetoolboxacceleratedarrow
jupyterhub/repo2docker
Jan 2020 - Mar 2020
Turn repositories into Jupyter-enabled Docker images
Role in this project:DevOps Engineer
DevOps EngineerContributions:7 commits, 4 PRs, 7 comments in 1 month
Contributions summary:Uwe contributed to the `repo2docker` project by enhancing its capabilities for building Docker images, particularly for Jupyter environments. Their work focused on integrating RStudio and related R packages within the image build process, ensuring correct configurations and installations. The user also addressed environment export issues and adopted a new Sphinx theme for documentation, improving the user experience and documentation quality. The commits included updating the CI/CD pipeline to use new themes.
repositoriesjupyter-notebookdockerjupyterlabjupyter
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