Bady Ben Salah

I contributed to the modernization of Chanel's data platform by orchestrating the transition to Microsoft Fabric and creating a reusable group-wide ingestion and transformation framework, from raw data to advanced analytical layers.

- Migration of Azure Data Factory, Databricks, and Azure Functions pipelines to Microsoft Fabric.

- Design of a generic ingestion framework usable by all entities and all sources (Oracle ERP, Dynamics 365, APIs, SQL...).

- Implementation of a complete medallion architecture: Bronze, Silver, and Gold.

- Development and optimization of PySpark pipelines in Fabric (Lakehouse, Notebooks, Pipelines).

- Advanced SQL modeling: transformations, aggregations, performance optimization, and volume management.

- Standardization of ingestion, transformation, data quality, and observability patterns.

- Implementation of automated tests, schema validation, and quality rules.

- Optimization of costs, SLAs, and performance in Fabric (Dataflows Gen2, Warehouse, Lakehouse).

- Integration of heterogeneous sources with management of mapping, harmonization, and historization (SCD).

- Documentation, guidelines, and team support to ensure platform consistency and scalability.

Data analysis and modeling.

Azure Data Factory/Synapse, SQL, Spark development

Optimization of existing solutions' performance.

Technical environment: ADF, Synapse, SQL, PySpark, Azure DevOps,

GitHub

My former client SG called me back to rejoin the same Datalake team.

I continued to evolve existing products and to continue the migration started previously to the Azure cloud.

Data analysis and modeling.

Azure Data Factory, Azure Functions development.

Design and development of tabular SSAS cubes and Power BI reports/Dashboards/Applications.

Optimization of existing solutions' performance.

Technical environment: ADF, Azure Data Lake Gen2, Synapse, SQL, PySpark, Azure DevOps, Power BI Premium, GitHub, SAFe