David Abdelmalek is a Data Management Consultant with nine years of experience designing and operationalizing data pipelines and analytics for automotive and enterprise clients across Europe. He has applied data engineering and ML tooling at Bosch and BMW—handling large-scale ETL on cloud platforms (AWS, Azure), Kubernetes orchestration for ROS bag ingestion, and PySpark solutions for production use cases. At INFORM DataLab he focuses on transforming enterprise data infrastructure, building on prior roles that combined research at Fraunhofer and hands-on systems work from internships to product teams. Comfortable bridging research and production, he pairs a Data Science MS from RWTH Aachen with a Self-Driving Cars Nanodegree to tackle autonomous-driving data challenges and complex root-cause analysis workflows. Notably, he brings both low-level engineering (Docker, REST APIs) and strategic data management experience to deliver scalable, auditable solutions for safety-critical domains.
9 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science and Engineering, Bachelor's degree Computer Science and Engineering at The German University in Cairo
Contributions:14 pushes, 3 branches in 4 years 3 months
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