Summary
Moemen Ebdelli is a BI & Data Engineer based in Munich with six years of experience building data warehouses, ETL pipelines, and BI solutions for analytics-driven organizations. He combines hands-on Python, SQL, Airflow and Docker expertise with practical data modeling and lineage tracking to turn complex schemas (including a MySQL source with 160+ tables) into reliable reporting layers. Comfortable across the full ETL lifecycle, he has automated medical-data workflows, optimized query performance, and documented pipelines to ensure maintainability and data quality. Currently at Spread Group after multiple progressive roles at RAYLYTIC, he brings both production engineering discipline and a researcher’s rigor from his Computer Science master’s studies at Universität Passau. He’s completed a Data Engineering Nanodegree and has a track record of simplifying stakeholder requirements into clear data products. Colleagues rely on him to bridge cross-functional teams and deliver auditable, well-tested data solutions.
6 years of coding experience
3 years of employment as a software developer
ingeneering, INDP1, ingeneering, INDP1 at SUP'COM
Bachelor's degree, Mathematik und Physik, Bachelor's degree, Mathematik und Physik at IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de Tunis
Nanodegree Program, Data Engineering, Nanodegree Program, Data Engineering at Udacity
Master's degree, Computer Science, Master's degree, Computer Science at Universität Passau