Freelancer profile translated to English.
Back to original languageAbout Mohamed
I help companies clean, structure, and automate their data so they can make better decisions and work more efficiently.
I work with SQL, Python, and ETL pipelines, and support the solution of practical data problems – quickly and reliably.
Here's how I can help you:
• Analyze and optimize faulty or slow SQL queries
• Clean and transform unstructured or faulty datasets
• Build ETL processes or debug existing pipelines
• Automate data processes with Python
• Efficiently process large amounts of data
My focus is on clear, clean solutions and quick implementation. Whether it's small data problems or structured data pipelines – I deliver results that work in the long term.
Feel free to contact me anytime with questions or specific tasks.
German
Native or bilingual
Arabic
Native or bilingual
English
Native or bilingual
French
Native or bilingual
Can work on-site
Frankfurt am Main (up to 50km)
Experience
- Tamara CoData EngineerMay 2024 - November 2025 (1 year and 6 months)Berlin, Germany• - Creating and maintaining data pipelines on Google Cloud Platform to process Terabytes of customer data daily.• - Ingesting data from different cloud and on prem sources to BigQuery. -Transform the data using ETL (Extract, Transform and Load) and prepare it for analytics and visualisations.• - Creating interactive dashboards in Google Looker Studio and Power BI for customer purchases tracking.
- Adastra GmbH/ Commerzbank AGData EngineerJuly 2020 - March 2024 (3 years and 8 months)Frankfurt, Germany• - Design and implement multiple data pipelines to process structured and unstructured data from different sources using SQLscripting, Shell scripting and process automation.• - Migrating data pipelines from on premise to Google cloud platform and perform multiple ETL processes.• - Deliver daily large datasets for various business use cases.• - Development of a data lineage/ data governance solution to track the use of data across the data lake using Apache Atlas, Neo4J and Google Cloud Platform.• - Build a data discovery and metadata engine solution based on Amundsen to improve the productivity of dataanalysts and data engineers to easily find the location of datasets.
- FotoFinder Systems GmbHMachine Learning and Data Engineer(Part-Time)February 2019 - June 2020 (1 year and 4 months)Bad Birnbach, BY, GermanyLabeling and preprocessing of high resolution medical images (VIA, OpenCV), Developing a learning based solution forDetection and Segmentation of skin pixels (Tensorflow, Keras, Faster/Mask-RCNN), integrating the model into a productionsoftware (C#, OpenCV, TensorFlow Serving).
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Education
- Master inHigher School of Communication of Tunis (SupCom)2017Master in
- Bachelor in Mathematics and PhysicsPreparatory Institute for Engineering Studies2014Bachelor in Mathematics and Physics