About Wajih
With 9 years of experience in the Data world, I have built strong expertise across all phases of Business Intelligence and Data Engineering projects — from raw data collection and integration, to modeling, data warehouse design, and the delivery of impactful reports and dashboards.
By working extensively with the Azure Data Platform, Microsoft Fabric, Databricks, SQL, and Power BI, I have gained deep technical expertise in cloud-based data solutions while also contributing to large-scale modernization programs.
Passionate about new technologies and Big Data ecosystems, I am always open to new challenges. My priorities remain optimization, innovation, and customer satisfaction
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- InetumArchitecte Data CloudDIGITAL AND ITJune 2023 - Today (2 years and 11 months)Paris, FranceWorked as a Microsoft Fabric Expert and Technical Lead, driving the design and implementation of modern Data & Analytics solutions for enterprise clients.Key Responsibilities & Achievements:Designed and deployed a Medallion architecture (Bronze, Silver, Gold) within Microsoft Fabric Lakehouse & Warehouse, optimizing data storage, transformation, and governance.Developed advanced Fabric Notebooks (PySpark) to handle schema drift and automate ingestion in a metadata-driven approach.Implemented Upsert (MERGE) and Updelete (soft/hard delete) strategies in Fabric for consistent data integration.Integrated real-time event streams using KQL queries in Fabric Real-Time Analytics for low-latency ingestion.Built and optimized Lakehouse Warehouse solutions, enabling high-performance analytics for business insights.Designed and published datasets and Power BI reports for visualization and decision-making.Acted as Technical Lead, mentoring team members on Microsoft Fabric best practices and Medallion design patterns.Technologies: Microsoft Fabric (Lakehouse, Warehouse, Real-Time Analytics), PySpark, KQL, SQL, Python, Power BI, Azure.
- Bourse de LuxembourgSenior Data EngineerPRIVATE EQUITYAugust 2022 - June 2023 (11 months)Luxembourg, LuxembourgContributed as a Senior Data Engineer and Technical Reference in the modernization of the BI and Data Platform, moving from legacy MSBI/SSIS towards Azure Cloud and Microsoft Fabric.Key Responsibilities & Achievements:Gathered and formalized business requirements through client workshops.Designed and deployed ETL workflows with SSIS, migrating and transforming data from multiple sources into Staging, ODS, and Data Warehouse environments.Developed and optimized stored procedures, functions, and views to support complex transformations.Built multidimensional data models (Dimensions, Fact Tables) to improve analytics and reporting.Delivered Power BI datasets and multilingual reports, implementing dynamic translations for international users.Established a report versioning system to ensure traceability and historical analysis.Successfully led the transition from SSIS to Azure Data Factory, improving scalability and performance.Implemented CI/CD pipelines with Azure DevOps, ensuring streamlined deployment and version control with Git.Automated workflows using Power Automate and integrated external data via REST APIs (C# Script Task).Acted as technical lead and mentor, supporting the team in best practices for Azure Data and Power BI.Technologies: T-SQL, SSIS, Azure Data Factory, SQL, Power BI, Power Query, DAX, Git, Azure DevOps, PowerShell, Power Automate, C#, REST API.
- L'OREAL SATechnical Lead DataFASHION AND COSMETICSJune 2021 - August 2022 (1 year and 3 months)Paris, FranceLed the design and delivery of Business Intelligence solutions for L’Oréal’s MedPro BI project, providing global reporting and advanced analytics across multiple markets.Key Responsibilities & Achievements:Designed and implemented a global Power BI model to unify reporting across international markets.Built multidimensional data models (Dimensions, Fact tables) to enhance analytical capabilities.Developed datasets, dashboards, and KPIs in Power BI, enabling better data-driven decision-making.Implemented Row-Level Security (RLS) to ensure data governance and secure access to sensitive information.Developed dynamic multilingual Power BI reports, adapting automatically to end-user culture and language.Acted as a technical reference and mentor, supporting BI team members and ensuring best practice adoption.Defined and maintained a report versioning system to guarantee data accuracy and traceability.Technologies: Power BI, SQL, T-SQL, DAX, Power Query, Git, Azure DevOps, PowerShell.
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Education
- Masters Spécialisé, BIG DATA & CLOUD COMPUTING (BD2C)Université Hassan II Aïn Chock de Casablanca2017Masters Spécialisé, BIG DATA & CLOUD COMPUTING (BD2C)
- Baccalauréat Science Mathématique -A-Lycée Mohammed 52011Baccalauréat Science Mathématique -A-
Certifications
- Microsoft Certified: Azure Data Engineer AssociateMicrosoft2024
- MCSA: SQL 2016 Business Intelligence Development - Certified 2021Microsoft2021