About Cheick
French
Native or bilingual
English
Fluent
Experience
- FRAMATOMESenior Data EngineerApril 2025 - Today (1 year and 2 months)Courbevoie, FranceSenior Data Engineer responsible for the ingestion, processing, and valorization of project planning data from sources such as Primavera P6, Jira, MS Project, etc.:- Design and implementation of data ingestion pipelines in a Medallion architecture on Databricks- Data modeling according to star schema or snowflake schema,- Data normalization respecting normal forms: NF1, NF2, NF3- Development of KPI calculations for monitoring project performance (progress, costs, deadlines) and financial indicators- Implementation of data quality controls- Optimization of Spark processing performance- Deployment and maintenance of ETL pipelines in a production environment- Conversion of data transformations written in M language (Power Query) in Power BI into PySpark scripts for optimized execution in the Databricks environment- Connection of data from the Gold layer of the Medallion architecture to Power BI, enabling smooth and secure feeding of dashboards for real-time visualization of project KPIs and metrics.
- ENGIE SOLUTIONSTech Lead Data EngineerENERGY AND UTILITIESJanuary 2023 - December 2024 (2 years)Bagneux, FranceSenior Data Engineer responsible for implementing electricity and gas consumption data ingestion flows:- Design and implementation of data processing pipelines- Processing and ingestion of different file formats (XML, JSON, CSV, PARQUET, etc.)- Implementation of streaming processes for real-time data flow ingestion.- Implementation of data processing pipeline orchestrators- Optimization of Spark processing performance: partition management, Spark configuration tuning, parallelization, caching, etc.- Migration of Oracle data flows to Databricks- Database management and optimization.- Production deployment of ETLs
- NatixisSenior Data Scientist/Engineer ConsultantBANKING AND INSURANCEOctober 2020 - October 2022 (2 years and 1 month)75013 Paris, FranceData Engineer/Scientist responsible for implementing data solutions for fraud detection, money laundering, and terrorist financing models for compliance:- Implementation of data pipelines for data extraction, transformation, and loading (ETL)- Implementation of models for suspicious transaction detection,- Implementation of matching models between clients and politically exposed persons and individuals on sanction/embargo lists- Segmentation of countries based on the associated risk of money laundering and terrorist financing- Implementation of data processing pipeline orchestrators- Optimization of Spark processing performance: partition management, Spark configuration tuning, parallelization, caching, etc.
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Education
- Ph.D in Mathematics / Computer Science.Université Pierre et Marie Curie2017Ph.D in Mathematics / Computer Science.
- Master's Degree in Probability and Random models.Université Pierre et Marie Curie2012Master's Degree in Probability and Random models.
Certifications
- Databricks Certified Data Engineer ProfessionalDatabricks