Michael Schäuble is a Data Architect with 11 years of experience building data products and production ELT pipelines in enterprise environments, currently designing and managing a Data Mesh at SBB CFF FFS. He moved up from business analysis to hands-on data engineering, implementing Python Snowpark, dbt, Azure Data Factory and Argo workflows to operationalize analytics at scale. His background includes application development at Accenture and early work in pharma, giving him a pragmatic blend of engineering rigor and domain-oriented product thinking. An embedded systems contributor on the popular PX4 autopilot project, he has low-level IoT experience integrating sensor drivers for Parrot Bebop platforms—an uncommon pairing that informs his systems-level view of data from edge to cloud. Based in Herzogenbuchsee, Switzerland, he brings cross-functional leadership and a track record of turning complex data ecosystems into reliable, reusable products.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.S.) Wirtschaftsinformatik Application Management, Bachelor of Science (B.S.) Wirtschaftsinformatik Application Management at DHBW Lörrach
Contributions:2 reviews, 63 commits, 33 PRs in 2 years 6 months
Contributions summary:Michael primarily contributed to the integration and configuration of sensor drivers for the Parrot Bebop drone within the PX4 autopilot software. Their work included adding a build target and upload functionality for the Bebop platform. Key modifications involved adding wrappers for various sensors, including the MS5607, MPU6050, AK8963, and a Bebop bus interface, along with integrating the Bebop mixer and flight controller parameters. They also addressed build and configuration issues.
Contributions:22 pushes, 30 branches in 6 years 5 months
autopilotpx4raspberry-pi
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