Stefaan Lippens
Data Scientist
Ghent Metropolitan Area Belgium
Summary
👤
Senior🎓
Top SchoolStefaan Lippens is a data scientist with 15 years of hands-on experience bridging academic signal processing research and production-grade data engineering. After a PhD and postdoc at Ghent University in image halftoning and audio processing, he transitioned from open-source Drupal contributions to leading data teams and building big-data pipelines in the Hadoop/Python ecosystem. At Massive Media Match he ran the full data stack—engineering, analytics and visualization—and now applies that expertise to geospatial and data science problems at VITO. He is an active open-source contributor to prominent projects like GeoTrellis, pytest and Luigi, improving core functionality, documentation and scheduler internals. Comfortable from low-level Linux tinkering to high-throughput distributed systems, he combines rigorous research instincts with pragmatic production focus. Based in the Ghent area, he brings a rare mix of signal-processing depth and production-oriented, scalable data engineering.
15 years of coding experience
12 years of employment as a software developer
Don Bosco ZwijnaardePh.D., Ph.D. at Ghent University
Dutch, English
Github Skills (15)
testing10
scheduling10
rs10
spark10
luigi10
pytest10
python10
orchestration-framework10
spatial-data10
documentation10
scala10
unit-test9
unit-testing9
configuration-management8
api-design8
Programming languages (18)
Github contributions (5)
spotify/luigi
May 2014 - Apr 2019
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits, 11 PRs, 37 comments in 4 years 11 months
Contributions summary:Stefaan contributed to the core functionality and infrastructure of the Luigi framework. Their work included implementing task priority features within the scheduler and worker components, enhancing the system's ability to manage and prioritize tasks. The user also addressed documentation and configuration aspects, fixing installation instructions and improving the clarity of the API overview. Furthermore, the user added event handling for task lifecycle events, adding more functionality to the framework's internal workings.
pythonbatch-jobsdependency-resolutionorchestration-frameworkworkflow-management
locationtech/geotrellis
Aug 2019 - Aug 2020
GeoTrellis is a geographic data processing engine for high performance applications.
Role in this project:Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:6 commits, 5 PRs, 2 comments in 1 year
Contributions summary:Stefaan primarily contributes to the GeoTrellis project through documentation improvements, bug fixes, and code enhancements. Their work includes correcting typos, refining the structure of documentation, and updating project versions. They also focus on fixing issues in spatial joins and partition handling, as well as improving the ArrayTile.combineDouble function. The user is involved in improving the core functionalities of the project.
geotrellisgeospatialdata-processinggeographic-dataperformance
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