Damian Kula is an Engineering Manager at DeepL with a decade of hands-on experience turning seismological research problems into production-grade data solutions. He bridges data engineering and scientific programming, having built end-to-end pipelines, Airflow clusters, and CI-driven tooling while also installing and maintaining broadband seismic networks. Comfortable across Python, Flask, Docker, Airflow and PostgreSQL, he modernized legacy Fortran workflows into a Python API and contributed maintenance fixes to the widely used ObsPy seismology library. Damian combines fieldwork experience with backend engineering rigor, enabling reliable continuous data acquisition and processing for scientific monitoring. Based in Germany with an MSc in Geophysics, he seeks roles that keep challenging both his engineering leadership and deep data-science instincts.
10 years of coding experience
5 years of employment as a software developer
Master of Science (MSc), Geofizyka, Master of Science (MSc), Geofizyka at Uniwersytet Śląski w Katowicach
ObsPy: A Python Toolbox for seismology/seismological observatories.
Role in this project:
Backend Developer
Contributions:27 reviews, 95 commits, 33 PRs in 2 years 4 months
Contributions summary:Damian primarily focused on maintaining and updating the ObsPy library, which is a Python toolbox for seismology. Their contributions included modifying existing code, specifically changing imports, updating unit descriptions, and fixing issues related to compatibility. The user also made some minor changes related to code style. The user's changes were spread across multiple modules, indicating a broad familiarity with the codebase.
ObsPy: A Python Toolbox for seismology/seismological observatories.
Contributions:27 PRs, 217 pushes, 37 branches in 5 years
seismologypythonsciencetoolboxweb-services
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