Markus Von Steht is a Data Integration BI Engineer with eight years of experience blending geophysics, data science, and cloud engineering to deliver analytics and ML-driven solutions across energy, finance and agriculture. Trained as a geophysicist with a PhD, he pivoted from seismic interpretation and field-scale reservoir work to building production ML pipelines, data lakes, and cloud-native BI platforms using Python, AWS, Kafka and infrastructure-as-code. He has a track record of turning complex, domain-specific data (from borehole surveys to microservice metrics) into reliable KPIs and automated workflows that shorten decision cycles and de-risk migrations. Comfortable across the stack, Markus moves between prototyping statistical models and deploying scalable services with MLFlow, FastAPI and container orchestration. He’s equally at home scoping reprocessing projects and shipping observability for distributed systems, and maintains practical embedded/IoT tooling experience from early sensor-network projects.
8 years of coding experience
7 years of employment as a software developer
Doctorate in Natural Sciences, Geophysics, magna cum laude, Doctorate in Natural Sciences, Geophysics, magna cum laude at University of Karlsruhe
Contributions:35 pushes, 3 branches in 6 years 3 months
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