À propos de Ayoub
Ayoub ingénieur spécialisé en traitements des données. Il a plus d'expérience autant que Analytics & Data Engineer. Il a travaillé dans des entreprises comme Amazon, L'Oréal et British American Tobacco. Il se spécialise dans les projets de Data notamment dans le secteur de Luxe, retail (B2B ou B2C).
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Allemand
Capacité professionnelle limitée
Accepte de travailler sur site
Paris (jusqu’à 30 km)
Expériences
- ServierAnalytics EngineerINDUSTRIE PHARMACEUTIQUEavril 2025 - Aujourd'hui (1 an et 2 mois)Paris, FranceMigrated legacy Oracle data structures to SAP S/4HANA analytics pipelines using dbt and BigQuery on GCPDesigned dbt staging, intermediate, and reporting layers to standardize SAP manufacturingBuilt analytics dashboards delivering visibility on production, batch inspection, production network...Implemented data quality tests and validation rules in dbt to ensure reliability of datasetsCollaborated with stakeholders in an Agile environment to define KPIs and business metrics
- L'Oreal FranceData EngineerMODE & COSMÉTIQUESavril 2024 - avril 2025 (1 an)Paris, France♦ Development and optimization of a data platform for processing sales performance♦ Implementation, maintenance, and centralization of data pipelines with automated CI/CD to reduce deployment latency by 80%♦ Design and deploy key analytics metrics for tracking commercial performance using, DBT for data transformation and Power BI for visualisation. Achieving +5% YTD sales improvement♦ Translate messy files into trusted data: Create robust, repeatable processes to extract and normalize data from Excel (multi‑sheet, merged cells, header variations, hidden rows, cross‑tab layouts) and PDF documents (including OCR and table extraction), mapping to standardized schemas.♦ Development of a data extraction pipeline orchestrated by Airflow/Docker and reducing manual intervention by 50% of the actual time♦ Collaboration with project managers to gather requirements
- amazonBusiness Intelligence EngineerHIGH TECHavril 2022 - octobre 2023 (1 an et 6 mois)Luxembourg, Luxembourg♦ Optimized cost of delivery packages to the customer with scope 10% YoY inreduction by deploying a data pipeline♦ Built data pipeline to streamline data delivery between 3P carriers andAmazon stakeholders♦ Built analytics and visualizations using AWS Quicksight for concededdeliveries. The scope 5% YTD in DPMO reduction♦ Optimized Redshift queries processing 400M+ daily records, cutting costs by$80K annually♦ Automated workflow of 2 lambda Functions using Event Bridge♦ Writing a handover documentation for the internal use of the deliverable
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Formations
- Master of Science Data ScienceEcole Centrale Lille2023Data Engineering, Data modelling, Data Science
- Master of engineeringPolytech Orléans2020Génie industriel - Optimisation
Certifications
- DBTDBT2025