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Visar MullafetahVM

Visar Mullafetah

Senior Data Architect, Cloud/On Prem

EUR 800/Tag
4 Projekte
Paris, FR
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Visar

Data executive with 12+ years of strategic leadership in data architecture, engineering,
governance, and innovation, driving enterprise-wide data initiatives that fuel business
growth and operational excellence.
  • Englisch

    Muttersprachlich oder zweisprachig

  • Französisch

    Verhandlungssicher

  • Türkisch

    Muttersprachlich oder zweisprachig

  • Albanisch

    Muttersprachlich oder zweisprachig

Vor Ort möglich
Paris (bis zu 50 km)

Projekt- und Berufserfahrung

  • Trace One
    Lead Data Architect
    SOFTWARE-HERSTELLER
    Februar 2026 - Heute (4 Monate)
    Paris, Frankreich
    - Built a multi-env, multi-tenant prod-ready POC data platform on GCP : gathered requirements, defined architecture, and optimized costs across GCP services (BigQuery, Composer, DBT, Cloud Run, GKE, Terraform)
    - Industrialized end-to-end data pipelines from API ingestion to dimensional models and data marts, supporting team onboarding and delivering training sessions to ensure adoption and operational autonomy.
    Google Cloud Platform (GCP) Big Query DBT Data architecture Data Strategy
  • CREDIT AGRICOLE, Propulse
    Lead Data Archtiect
    BANKEN & VERSICHERUNGEN
    April 2025 - November 2025 (7 Monate)
    Designed the data warehouse data model and implemented the datalake for core domains including customers, products, interactions, conversions in AWS, CDK, S3, Python, Lambda, Redshift, MongoDB, JSON.
  • OppScience
    Engineering Manager
    ÖFFENTLICHER SEKTOR & KÖRPERSCHAFTEN
    September 2024 - Heute (1 Jahr und 9 Monate)
    Paris, Frankreich
    - Defined technical and product roadmap for semantic AI platform (Spectra) and led a cross expertise 7 member team to 3 consecutive quarterly releases for law enforcement software. (Java, Python, fine tunable ML, K8s, semantic, graph)
    - Launched Semantic Studio Standalone, a standalone app for semantic extraction creating new sales opportunities.
    - Delivered on-premise fine tunable Flair relation extraction model, boosting investigative accuracy.
    - Delivered gemma:3n LLM model for on-premise summary generation.
    LLM Natural Language Processing (NLP) Product roadmap intelligence artificielle Team Leadership

Bewertungen

5.0

Von 1 Bewertungen

D

David

IMERYS

Bewertet am 12.12.2023

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Ausbildung und Abschlüsse

  • Master of Science
    Ecole Centrale Paris
    2016
    Master of Science in Information Technologies for Business Intelligence Ecole Centrale Paris, France - Decision Science, Data Mining, Visual Analytics (Tableau, R) Université Francois-Rabelais de Tours, France - Data Mining, Information Retrieval, Data Warehousing Université libre de Bruxelles, Belgium - Data Warehousing, Business Process Management

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