Christina Braun
Lead Data Engineer
Neckargemünd, Baden-Württemberg, Germany
Summary
🤩
Rockstar🎓
Top SchoolChristina Braun is a Lead Data Engineer with a decade of experience applying data analytics and engineering to drive operational decisions in large industrial and healthcare organizations. Currently leading data engineering at Heidelberg Materials, she progressed through roles in data analytics and solution ownership for purchasing and inventory, combining domain knowledge with hands-on technical leadership. Her background in Wirtschaftsinformatik and early SAP application support gives her a strong foundation in enterprise systems, finance-aware analytics, and process optimization. Christina also maintains active ties to academic GIScience research through Heidelberg University and HeiGIT, bringing spatial data perspectives into industrial data solutions. Colleagues know her for bridging research and production, turning complex datasets into auditable, decision-ready insights.
10 years of coding experience
4 years of employment as a software developer
Diplom, Wirtschaftsinformatik, Diplom, Wirtschaftsinformatik at Berufsakademie Mannheim
Github Skills (73)
energy10
qgis-processing10
osrm10
openstreetmap10
matrix10
astar10
api10
osm-data10
router10
map-matching10
data-history10
energy-data10
consumption10
climate-change10
openstreetmap-data10
Programming languages (7)
Github contributions (5)
GIScience/ohsome-py
Jun 2020 - Apr 2022
Python bindings for the ohsome API
Contributions:9 releases, 31 reviews, 135 commits in 1 year 10 months
openstreetmapapipythonohsomeopenstreetmap-history
GIScience/socialmedia2traffic-api
Dec 2021 - May 2022
Contributions:84 commits, 39 pushes, 1 branch in 5 months
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