Summary
Ahmed Ebid is a Cloud Data Engineer specializing in data and AI for autonomous driving, with nine years of hands-on experience building scalable big-data pipelines and ML tooling in AWS. Currently at BMW Group he designs fleet data ingestion and processing systems using Scala, Python, Spark and Terraform, after leading cloud backend architecture for a pan-European reporting platform. His background blends applied ML research—from a TUM master’s thesis on robust semantic segmentation—to production data engineering across automotive and pharma projects. Known for moving prototypes into reliable pipelines, he pairs deep technical fluency with a proven track record of cross-team delivery in high-compliance, large-scale environments.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Engineering, 1.2, Bachelor of Science - BS, Computer Science and Engineering, 1.2 at The German University in Cairo
IGCSE and GCE, 97.8%, IGCSE and GCE, 97.8% at University of Cambridge
Master of Science - MS, Data Engineering and Analytics, 1.8, Master of Science - MS, Data Engineering and Analytics, 1.8 at Technical University of Munich
Arabic, English, German