Freelancer profile translated to English.
Back to original languageAbout Nour
Data engineer specializing in data integration, Azure cloud migration, and Power BI reporting.
I work on the entire data project lifecycle: needs analysis, data migration (Oracle, SharePoint, API), setting up a Medallion architecture (bronze, silver, gold) in Azure Data Lake, developing ETL pipelines with Azure Data Factory, and data visualization with Power BI.
I design business-oriented Power BI reports (occupied space analysis, sales analysis, P&L tracking, revenue, costs, budgets, etc.).
I also ensure technical documentation and training of end-users (directors, managers, financial analysts) to guarantee transparency, autonomy, and reduction of technical debt.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km), Issy-les-Moulineaux (up to 50km), Puteaux (up to 50km), Saint-Ouen (up to 50km), Pantin (up to 50km)
Experience
- TF1Data EngineerPRESS AND MEDIAFebruary 2025 - Today (1 year and 4 months)Paris, FranceIntegration of a new Payroll & HR tool
- Design and develop integration flows for the deployment of the new Payroll & HR system on Azure.
- Extract data from SAP SuccessFactors (SOAP/OData API) and ServiceNow (REST API) using Azure Logic Apps.
- Call stored procedures to insert and update data in Azure SQL Database.
- Develop ETL pipelines on Azure Data Factory to automate SFTP file integration.
- Secure authentication secrets (API keys, username, and password) using Azure Key Vault.
- Execute and monitor existing CI/CD pipelines and manage code versioning on Azure DevOps.
- Manage secure access between Azure services using Azure AD Managed Identities, eliminating the need to store credentials.
- Monitor integration flows via Datadog: manage technical and functional errors, and resolve anomalies.
- Participate in workshops with Product Owners to analyze existing architecture and define integration specifications.
- Write complete technical documentation on Confluence: detailed specifications and architecture diagrams.
- KeyrusData EngineerREAL ESTATEFebruary 2024 - January 2025 (11 months)Levallois-Perret, France
- Migrate various data sources (ODI, Oracle Database, SharePoint, Oracle Alequoa API) to Azure SQL Database.
- Design and develop ETL pipelines on Azure Data Factory to automate data integration and transformation.
- Implement a Lakehouse architecture based on the Medallion model (Bronze, Silver, Gold), optimizing storage in the ODS and DWH using Azure Synapse Analytics.
- Extract data from SharePoint and transfer it to Azure Blob Storage using Azure Logic Apps.
- Create UX/UI mockups with Figma to validate dashboard ergonomics before development.
- Design a Power BI report for analyzing event venue occupancy in square meters through advanced KPIs: occupancy rate, rented area vs. capacity, sqm per event, vacancy rate, etc.
- Configure Row-Level Security (RLS) and role management in the Fabric workspace.
- Write complete technical documentation, including migration processes, deployed architecture, and best practices.
- Train and support end-users on using Power BI reports: 4-day training.
- EYData EngineerBANKING AND INSURANCEDecember 2021 - January 2024 (2 years and 1 month)Puteaux, FrancePayroll and HR Data Analysis - ENOVOS• Develop ETL pipelines in Azure Data Factory to automate the extraction and transformation of HR data.• Lead workshops with business teams to identify analytical needs in project allocation and budget management.• Extract and consolidate data from SAP, SQL Server, and SharePoint to create a unified view of HR data.• Implement a Lakehouse architecture based on the Medallion model, optimizing storage in the data lake and DWH.• Create a Power BI report with key HR KPIs: utilization rate, planned vs. actual hours variance, capacity, and availability.• Automate Power BI report refreshes via ADF pipelines and REST API calls to Power BI.• Write technical documentation: data flow architecture, data schemas, and user guidesFP&A Report Design for Financial Analysis on Power BI - Danone• Collaborate with business teams to identify data visualization needs.• Model financial data by structuring data from the General Ledger and P&L income statements, etc.• Create DAX measures with contextual filters on dates: P&L, EBITDA, budget vs. actual variance, N-1 comparisons, YTD/MTD.• Design a Power BI report integrating financial tracking and operational KPIs to facilitate decision-making.• Write complete technical documentation, including data models and Power BI report user guides.
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Education
- Master of Science in Business AnalyticsESPRIT2022Master en Data et Business Analytics
- Bachelor's degree in FinanceIHEC Carthage2020Licence fondamentale en management et Data
Certifications
- PL-300 — Power BI Data AnalystMicrosoft2023
- DP-600 — Fabric Analytics Engineer AssociateMicrosoft2025