Freelancer profile translated to English.
Back to original languageAbout Mohamed
I am a junior Data Engineer passionate about transforming data into actionable insights. With experience in Python, SQL, Azure Databricks, and Data Factory projects, I help companies structure, analyze, and leverage their data.
I have worked in both startups and large corporations (SAP), which has allowed me to adapt quickly to different environments and needs. I enjoy solving complex problems, optimizing data flows, and making systems more efficient.
Curious and pedagogical, I enjoy explaining technical concepts to non-experts and creating clear and functional solutions. Always motivated by new challenges, I am available for data engineering, data analysis, or cloud data missions.
French
Fluent
English
Fluent
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- FreelancePython Developer / AI EvaluatorNovember 2024 - Today (1 year and 7 months)- Developed Python scripts for Fiverr clients to extract data from documents (OCR) and generate Excel/CSV files, thereby automating manual processes.- Evaluated responses generated by LLM models for Python and Java coding tasks at Outlier, focusing on instruction adherence, factuality, and writing style.
- SAPAzure Data EngineerTECHOctober 2023 - September 2024 (11 months)Paris, France- Designed a monitoring solution for MLOps platform KPIs using Azure Databricks and Azure Data Lake. Created end-to-end data pipelines with PySpark, Databricks SDK, Azure Log Analytics, and Delta tables, following the Medallion architecture (bronze, silver, gold).- Developed production SQL queries for platform KPI measurement.- Implemented a real-time Databricks dashboard to visualize KPI trends.- Collaborated with Scrum Master, Product Owner, and Product Manager in an agile environment (Jira).
- PetalensAzure Data EngineerFebruary 2023 - August 2023 (6 months)Tangier, Morocco- Designed data storage with SQL Server Database for structured data and Azure Data Lake for unstructured data.- Developed Python notebooks on Azure Databricks to collect data from various media sources, including scanned documents (PDF), YouTube videos, Google News, and APIs.- Utilized Azure AI services such as Custom Vision, Speech-to-text, and Sentiment Analysis to process and analyze raw unstructured data.- Implemented efficient ETL pipelines with Azure Data Factory to automate data collection, storage, and analysis.
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Education
- MSc Machine Learning for Data ScienceUniversité Paris Cité2025M2 Apprentissage Machine pour la Science des Données
- Data Science and Cloud Computing EngineeringENSAO2023Ingénierie Data Science et Cloud Computing