Über 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).
Französisch
Muttersprachlich oder zweisprachig
Englisch
Muttersprachlich oder zweisprachig
Deutsch
Konversationssicher
Vor Ort möglich
Paris (bis zu 30 km)
Projekt- und Berufserfahrung
- ServierAnalytics EngineerPHARMAZEUTISCHE INDUSTRIEApril 2025 - Heute (1 Jahr und 2 Monate)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 & KOSMETIKApril 2024 - April 2025 (1 Jahr)Paris, Frankreich♦ 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 EngineerHIGHTECHApril 2022 - Oktober 2023 (1 Jahr und 6 Monate)Luxembourg, Luxemburg♦ 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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Ausbildung und Abschlüsse
- Master of Science Data ScienceEcole Centrale Lille2023Data Engineering, Data modelling, Data Science
- Master of engineeringPolytech Orléans2020Génie industriel - Optimisation
Zertifizierungen
- DBTDBT2025