Matthias Gomolka
Data Engineer
Frankfurt, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolMatthias Gomolka is a data engineer with a decade of experience building and operationalizing large-scale research data pipelines at the Deutsche Bundesbank. Over five years at the Research Data and Service Centre he progressed from scripting small Stata/SAS extracts to designing robust R-based production pipelines and leading a reusable framework for research dataset production. He manages and serves some of the centre’s largest datasets (hundreds of GB) via Microsoft SQL and Apache Hive, and helped architect an institution-wide analytics platform on the Cloudera stack. To address statistical disclosure control challenges he developed the sdcLog R package and authored practical SDC guidance, blending technical tooling with clear documentation. Trained as an economist at Heidelberg University, he combines domain knowledge in economics and SDC with hands-on engineering to make large, sensitive datasets usable and auditable for researchers.
10 years of coding experience
Master of Science - MS, Economics, Master of Science - MS, Economics at Heidelberg University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (172)
toolbox10
disclosure10
ropensci10
r-package10
data-quality10
cran10
r9
data-validation9
pandas9
yaml-configuration9
testthat9
pipeline9
sql9
api9
database9
Programming languages (9)
Github contributions (5)
matthiasgomolka/simfinapi
Dec 2019 - Feb 2023
Makes 'SimFin' data (https://simfin.com/) easily accessible in R.
Contributions:4 releases, 3 reviews, 158 commits in 3 years 1 month
r-packageapisimfin-dataaccessiblerstats
matthiasgomolka/sdcLog
Mar 2020 - Apr 2022
Tools for statistical disclosure control in research data centres
Contributions:4 releases, 2 reviews, 355 commits in 2 years 1 month
statistical-disclosure-controlcentrespythonresearch-datadisclosure
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