Moussa Top

Technos : Databricks, Pyspark, Azure Data Factory, SQL Server, Netezza, Bird, QlikSense, Azure DevOps, SAP BW • Led the migration from Netezza/Qlik to Databricks/SAP BO, modernizing the data ecosystem with a robust medallion architecture (bronze/silver/gold) to boost scalability and performance • Performed in-depth reverse-engineering of legacy systems, mapping out complex ETL pipelines and reporting structures to ensure a seamless and risk-free migration • Redesigned and optimized ETL processes in PySpark, replacing legacy Netezza code to significantly improve data transformation efficiency and reduce processing time • Automated data workflows using Databricks Workflows and Azure Data Factory, enhancing pipeline reliability and streamlining end-to-end data operations • Implemented structured data storage and governance with Delta Lake and Unity Catalog, reinforcing data quality, security, and compliance across the platform

Technos : Azure Data Factory, SQL Server, Databricks, PySpark, Streamlit, FastAPI, Azure Functions, Power BI, Azure DevOps • Designed, tested, and proactively monitored complex data pipelines using Azure Data Factory to ensure robust and scalable data integration workflows • Engineered advanced data transformations in PySpark within Databricks, enhancing data quality, consistency, and readiness for analytics • Developed T-SQL stored procedures on SQL Server to automate key performance indicator (KPI) calculations and streamline business reporting • Built a self-service reference data management interface using Streamlit, empowering business users to autonomously update reference tables • Developed API integration tools with Streamlit, enabling seamless data ingestion and automated updates to target tables, all triggered by timer (CRON) via Azure Functions • Monitored and continuously optimized data lake performance on SQL Server and Databricks notebooks, ensuring stability and scalability of data operations

Technos : Azure Data Factory, Power BI, Oracle SQL, Google Sheets, Talend • Collaborated cross-functionally with customers and UX teams to translate business requirements into effective, user-centric BI solutions • Delivered secure and compliant reporting by implementing Row-Level Security (RLS) and aligning with customer-defined best practices • Transformed raw data into actionable insights, performing data extraction, cleaning, transformation, and modeling using Power Query • Accelerated user adoption of Self-BI tools by designing and delivering tailored training programs for international audiences (Japan, Italy, USA)