Freelancer profile translated to English.
Back to original languageAbout Marwan
Data Engineer, I help teams and SMEs to make their data flows reliable and automated: collection, cleaning, transformation, and making data available for analysis and reporting.
Specifically, I designETL pipelines in Python and SQL**, I automate repetitive tasks (API extraction, file processing, database population), and I structure your data so that it is clean and usable. I work daily with **Python, SQL, Spark, and Dockerin a real-world data context, from external data ingestion to modeling.
What sets me apart: clean, documented code that you can take over, real rigor on data quality, and clear communication, I explain each technical choice rather than delivering a black box.
Types of missions I work on: creation or redesign ofETL pipelines, automationof data processing, extraction and integration scripts, cleaning and preparation of datasets, initial distributed processing with Spark.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- CNP AssurancesData Engineer / Data ScientistBANKING AND INSURANCESeptember 2025 - Today (10 months)Issy-les-Moulineaux, FranceData Engineer & Data Scientist at CNP Assurances. I design data pipelines from scratch on high-volume projects, supporting advanced actuarial modeling.🔹 Data Engineering:- Built from scratch a pipeline for extracting massive climate data (Copernicus API, ERA5, CMIP6): ingestion, NetCDF file processing, spatio-temporal aggregation for France and Germany (Python, PySpark, SQL)- Generated synthetic data to leverage confidential insurance data: benchmark of 7 methods (SDV/GaussianCopula, CTGAN, TVAE, TabDDPM, PrivBayes…)🔹 Applied Data Science (what my pipelines feed):- Negative Binomial GLM modeling of summer excess mortality (Heat Index), XGBoost/Random Forest comparison, actuarial projections to 2100 (5 climate models, 3 SSP scenarios)- Exploratory analysis of contracts and insured data, competing risks model for mortality/surrender (Random Survival Forest)Demanding environment: sensitive data, rigor, and traceability.In parallel: Master's degree in Data Science/Data Engineer, University of Paris 1 Panthéon-Sorbonne (Spark, data architectures, Docker, CI/CD).
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