Peter Schmidbauer
Team Lead Data Engineering
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolPeter Schmidbauer is a Team Lead Data Engineering based in Vienna with 10 years of experience bringing software engineering best practices to data science and production analytics. He leads an 8-person team at ÖBB, owning the data warehouse, IoT data hub and migrations from on-prem to Azure while delivering cost-saving analytics for rail operations like wheel attrition forecasting. Hands-on with Airflow, Databricks/Delta Lake, Azure CI/CD and production AutoML, he builds robust data pipelines and lakehouse architectures that serve diverse internal stakeholders. Previously he architected core ML products in e-commerce and contributed backend improvements and security hardening to the popular jrnl command-line project, showing a commitment to maintainable, secure open-source code. With MSc in Data Science and a background as a paramedic, he combines rigorous technical leadership with calm, operational focus under pressure. He’s known for mentoring teams in testing, data-ops and devops to turn experimental models into reliable, production-grade systems.
10 years of coding experience
8 years of employment as a software developer
Master of Science Data Science and Engineering, Master of Science Data Science and Engineering at Hagenberg Campus - FH Upper Austria
German, English
Github Skills (10)
python10
command-line10
cryptography9
file-processing8
file-handling8
cli8
security8
testing8
fileio8
file-access8
Programming languages (13)
Github contributions (5)
jrnl-org/jrnl
Oct 2019 - Nov 2019
Collect your thoughts and notes without leaving the command line.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 commits, 10 PRs, 81 comments in 17 days
Contributions summary:Peter primarily focused on improving the core functionality and security of the `jrnl` command-line journaling application. Their work included fixing date parsing issues related to custom date formats and implementing a password confirmation dialog, enhancing usability and security. They also refactored the codebase to remove Python 2 remnants, improving the overall maintainability and modernizing the project, which demonstrates a commitment to code quality and compatibility. Furthermore, the user addressed security by moving password handling to encrypted journals.
notespythonjournal-applicationcollectnote-taking
pspeter/urban-sound-CO2
Apr 2018 - Jan 2020
Urban Sound Challenge project
Contributions:43 commits, 4 PRs, 27 pushes in 1 year 9 months
musicurbansound
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