David Stück
Senior Staff Data Engineer
New Orleans, Louisiana, United States
Summary
👤
Senior🎓
Top SchoolDavid Stück is a Senior Staff Data Engineer with 12 years of experience designing and operating scalable, secure data platforms that power complex analytics and compliance at scale. Based in New Orleans, he has led architecture and delivery of ISO 27001-compliant and ELT-driven Snowflake platforms that cut onboarding times 100× and development costs by 80%, while owning cross-functional coordination across infra, security, product, and data science. His background as a PhD computational chemist informs a rigorous, research-driven approach to building performant ETL, streaming, and data-processing systems from greenfield Spark/Airflow stacks to production warehouses. An active contributor to open-source scientific tooling, he has fixed core issues in the PyMC probabilistic programming library, bringing numerical and algorithmic attention to model initialization and transform correctness. David looks for opportunities where technology measurably improves people’s daily lives, pairing deep technical craft with practical, auditable solutions.
12 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Theoretical Chemistry, Doctor of Philosophy (PhD), Theoretical Chemistry at University of California, BerkeleyBachelor of Science (BS), Chemistry, Bachelor of Science (BS), Chemistry at Trinity University
Github Skills (10)
mcmc10
probabilistic-programming10
python10
bayesian-inference10
scipy8
statistics8
numpy8
statistic8
variational-inference7
testing6
Programming languages (10)
Github contributions (5)
pymc-devs/pymc
Sep 2015 - Oct 2015
Bayesian Modeling and Probabilistic Programming in Python
Role in this project:
Data Scientist
Data ScientistContributions:5 commits, 4 PRs, 3 comments in 19 days
Contributions summary:David primarily contributed to bug fixes and feature enhancements within the PyMC3 library. Their work involved addressing issues related to the initialization of model parameters, specifically within the NUTS step method. They also fixed a bug concerning flat Jacobians in transforms and added a test for multidimensional transform construction. Furthermore, they added a dependency and introduced a cleanup function, indicating involvement in code maintenance and development.
pythonbayesian-inferencestatistical-inferencemachine-learningprobabilistic-programming
dstuck/clinical-trials-status-store
Sep 2019 - Apr 2020
Graphql api for storing clinical trials statuses
Contributions:21 commits, 11 PRs, 21 pushes in 7 months
apiclinical-trialsgraphql-apiclinicalstoring
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.