Freelancer profile translated to English.

Description

Reliability of your Data Hubs & Industrial Governance

Hello,

Expert in Data Architecture and Governance, I intervene where reliability is non-negotiable.

Former "Lead Data" at Heineken and BNP Paribas, I combine the technical power of Big Data with industrial rigor inherited from aeronautics (Zero-Defect Culture).

WHAT I BRING TO YOUR PROJECT:

Governance & Compliance: Structuring secure Data Hubs, data dictionaries, and regulatory compliance (LME, GDPR).

Robust Architecture: Designing resilient pipelines (Spark, Kafka, Azure) that don't break in production.

Risk Management: Creating management indicators (KPIs) to secure your decision-making (Group/Comex Reporting).

MY METHOD:

I don't just deliver code, I deliver a system. My approach is based on auditability and long-term maintainability.

Let's discuss your data reliability challenges.

Languages

French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

HEINEKEN
Data Solution Lead & Architect
January 2023 - January 2025 (2 years)
Paris, France
: Critical risk on supplier workflows (manual controls). The Architecture: Design of an ecosystem (MDM + SAP) automating compliance. The Impact: Securing regulatory sovereignty (LME Law) and creating a single source of truth.
SAP Master Data Management (MDM) Risk Analysis and Management Data Architecture UML Modeling
BNP Paribas
Strategic Data Analyst - Global Procurement
January 2022 - January 2023 (1 year)
Paris, France
: Fragmentation of international data creating blind spots. The Solution: Construction of massive pipelines and a unified model. The Impact: Transformation of raw data into a strategic "Signal" for the COMEX.
Data Architecture Banking Sector SQL Agile Method Apache Kafka
Medexina / Lucidium
Product & Data Entrepreneur
January 2018 - January 2022 (4 years)
Lyon, France
Engineering: "Zero-to-One" creation of AI solutions (HealthTech/LegalTech). Strategy: Using Data to validate Market Fit (+35% efficiency).