About Yacin
English
Fluent
French
Native or bilingual
Experience
- KIABILeader Data PlatformRETAIL (LARGE RETAILERS)February 2023 - Today (3 years and 5 months)Villeneuve-d'Ascq, FranceLeader Data Platform | Technical Data Lead | Google Cloud
- Technical and operational direction of a Data team responsible for building an enterprise-wide cloud Data platform.
- Definition of the Data architecture vision, aligning business objectives, data governance, and technical excellence.
- Design and industrialization of the Data platform foundations on Google Cloud (ingestion, transformation, storage, orchestration, and data exposure).
- Transverse technical leadership with Data, Software Engineering, and Business teams to ensure solution consistency and accelerate value creation.
- Implementation of platform architecture, quality, security, and observability standards.
- Facilitation of the Data community as Chapter Leader, promoting skill development, best practice sharing, and innovation.
- ValiuzSenior Data EngineerTECHMay 2020 - November 2022 (2 years and 6 months)Lille, FranceFashion Data / Valiuz- Initially: As a Senior Data Engineer, my tasks mainly focused on building data processing flows within the Google ecosystem.- Subsequently: As a Lead Data Product, I managed the developments and technical organization of a data solution.
- OVHLead Data EngineerTELECOMMUNICATIONSSeptember 2011 - April 2020 (8 years and 8 months)Roubaix, FranceLead Data Engineer, managing a team of data engineers. Main mission: transform data into key indicators. Industrialize and make reliable the generation of financial monitoring reports.
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Education
- Signal Processing Engineer / Image SignalsEcole Supérieur des Procédés Electroniques et Optiques1999- Génie Logiciel, Algorithme de traitement de la donnée - Modélisation des signaux et systèmes, processus aléatoires - Mise en forme, extraction et analyse de l’information dans les systèmes d’observations complexes : problèmes inverses, détection, apprentissage statistique - Passage à l’échelle des grandes masses de données - Applications en imagerie multi et hyper-spectrale, applications biomédicales, neurosciences, astro, géosciences…