Freelancer profile translated to English.

Description

⛽️ Data is considered the black gold of the 21st century; I help companies leverage this raw material.

At the crossroads of data management and data engineering: my role is to transform complex business needs into robust data solutions with high operational impact.

My methodology: each mission begins with an audit of your data assets — quality, governance, usage — to quickly identify your improvement levers. Based on this diagnosis, I design and deploy reliable pipelines, support your teams in governance, and help valorize your data to meet your business challenges (steering, compliance, performance, product innovation).

➡️ My approach is simple: the technical stack is just a means. What matters is solving your business problems and making your data a true lever for performance and innovation.

Are you looking to solve a real business problem, gain performance, and not just implement a thousand tools? Look no further.

---

🔑 Keywords & stack:

Python • PySpark • SQL • Power BI • Azure • GCP (Cloud Run, Firestore) • Databricks • Collibra • Data lineage • ETL/ELT • Data Quality • Data Governance • UML • API • FastAPI

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

AXA FRANCE
TECHNICAL DATA MANAGER & DATA STRATEGIST
BANKING AND INSURANCE
September 2024 - Today (1 year and 9 months)
Paris, France
• Supervision and support of business teams in the implementation of the Data & AI Governance strategy for Axa France.
• Development of a monitoring tool in Python and PySpark to track the quality and reliability of data on the Azure Datalake from PowerBI.
• MLOps, requirements gathering, and creation of GenAI POCs and ML algorithms (Regressions, Classification, KNN) addressing various business issues.
• Training and support of Data Stewards (IARD) on best practices for governance and documentation of critical data in Collibra.
• Data acculturation at the Axa France level through the creation of simplified content in the form of videos and publications on Teams.
• Inventory, mapping, governance, and steering of Databricks Datalabs (IARD scope): usage management, compliance, identification and naming of responsible parties.
• Documentation of critical datasets in Collibra, requiring information gathering from over 20 stakeholders.
Python PySpark Project Management (PMO) Data Governance Machine learning
QERYN
FOUNDER & DATA SCIENTIST
March 2025 - Today (1 year and 3 months)
• Designed and implemented QerynCore (Python + FastAPI), orchestrating AI generation flows across text, image, audio, and video.
• Developed modular AI routing pipelines and real-time conversational orchestration.
• Integrated Firestore and Stripe (plans, quotas, usage tracking) and implemented analytics.
• Deployed a serverless GCP environment with CI/CD (GitHub Actions).
• Defined product strategy, KPIs, and experimentation loops to drive roadmap prioritization.
• Researched Mixture of Experts (MoE) architectures for future specialization

Stack : Python, FastAPI, GCP (Cloud Run, Firestore…), Stripe API, Git, GitHub Actions (CI/CD), Generative AI, API design, Real-time orchestration, Usage tracking, FlutterFlow
SOCIÉTÉ GÉNÉRALE
DATA ANALYTICS ENGINEER
BANKING AND INSURANCE
September 2023 - September 2024 (1 year)
Paris, France
• Analysis of over 10 million transactions with SQL and PySpark as part of business acceptance testing, pre and post migration to the Datalake. (Scope: Transactions and Payments for France, Germany, Switzerland, Belgium, Spain, United States, London, Hong Kong, etc.).
• Performed causal analyses on discrepancies between sources and the Datalake, leading to the redesign of critical pipelines.
• Modeled data tables and constructed Business Views (business tables) in the Datalake, facilitating cross-functional analysis for finance and compliance teams.
• Created strategic dashboards with Power BI for 5 business departments.

Stack : SQL, PySpark, ETL, Hive Megastore, HDFS, Power BI, data pipelines, gap analysis, causal inference, data reliability
PySpark Python Microsoft Power BI ETL Gap analysis