Moritz Körber
Head Of Device Data Engineering
Munich, Bavaria, Germany
Summary
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Senior🎓
Top SchoolMoritz Körber is Head of Device Data Engineering at ZEISS with nine years of experience building data warehouses and lakehouses on AWS and Azure using Python, Spark, SQL and a modern tooling stack including Databricks, Delta Lake, Docker and CI/CD. He combines hands‑on ETL/ELT engineering with strong inferential statistics and predictive modeling skills, ensuring pipelines are production‑grade through unit tests and data quality checks (pytest, Soda). A former data scientist and PhD researcher in human factors from TUM, he brings a researcher's rigor and user-centered perspective to data architecture and validation. Moritz favors infrastructure as code and lightweight development workflows (VS Code), and he balances pragmatic engineering with attention to reproducibility and observability. Based in Munich, he’s known for bridging academic depth with practical, auditable data platforms that reliably power device analytics.
9 years of coding experience
11 years of employment as a software developer
Diplom Psychology, Diplom Psychology at University of RegensburgDoctor of Philosophy - PhD Human Factors, Doctor of Philosophy - PhD Human Factors at Technical University of Munich
English, Spanish, French, Japanese
Stackoverflow
738reputation
184kreached
19answers
17questions
Github Skills (123)
apache-spark10
python10
great-expectations10
spss10
r10
big-data10
aws-ecr10
scale10
sql10
data-processing10
aws-redshift10
spark10
aws-cdk10
apache10
analytics10
Programming languages (8)
Github contributions (5)
moritzkoerber/moritzkoerber.github.io
May 2019 - Aug 2021
My blog/homepage https://moritzkoerber.github.io/
Contributions:4 PRs, 113 pushes, 8 branches in 2 years 3 months
my-blogjekyll
moritzkoerber/adventofcode
Dec 2022 - Mar 2025
Contributions:118 pushes, 3 branches in 2 years 3 months
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