Markus Scheidgen
Senior Data Engineer
Berlin, Germany
Summary
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Senior🎓
Top SchoolMarkus Scheidgen is a Senior Data Engineer based in Berlin with over 15 years of professional experience and a two-decade involvement in research data management and IT infrastructure. He designs and implements full-stack research software, cloud-native data pipelines, and institutional infrastructure, often in demanding academic and research settings. Markus has progressed from PhD research to hands-on roles at Humboldt University and Max Planck’s Fritz-Haber-Institut, where he bridged computer science research and production engineering. He combines team leadership with deep technical execution, delivering reproducible, auditable systems for research workflows. At CuspAI he continues applying this blend of research-grade rigor and practical engineering to data-driven products. A long-term academic background gives him a rare perspective on the lifecycle of scientific data from experiment to scalable service.
14 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Informatik, Doctor of Philosophy - PhD, Computer Science, Informatik at Humboldt-Universität zu Berlin (Humboldt University of Berlin)
Stackoverflow
316reputation
24kreached
10answers
3questions
Github Skills (92)
parser10
python10
json-schema10
validation10
pythonic10
api10
nexus10
reserved10
parsing10
rest9
prefixes9
data-parsing9
openapi9
pydantic9
unit-testing9
Programming languages (6)
Github contributions (5)
markus1978/optimade-python-tools
Sep 2019 - Mar 2023
Tools for implementing and consuming OPTiMaDe APIs in Python
Contributions:41 pushes, 17 branches in 3 years 6 months
apipython310pythontodoistoptimade
markus1978/xraw
Sep 2015 - Oct 2016
Contributions:2 releases, 140 commits, 89 pushes in 1 year 2 months
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