About

Product & Data Strategist — I build data products that turn user signals into actionable decisions.

What sets me apart: 20 years of reading human dynamics (psychology, music, teaching) combined with an end-to-end operational data stack. 60/40 psychology-to-data ratio — I read latent needs where most data profiles only read numbers.

WHAT I BUILD Link to heading

• Full-stack data products : API ingestion → SQL/dbt modeling → interface → Docker deployment
• AI-powered automation : LangGraph pipelines, Python scripting, VPS cron jobs
• Self-hosted infrastructure : VPS Linux, Traefik, CI/CD via GitHub Actions

EXPERIENCE Link to heading

Product & Data — Les Bredelers (2024-present) Link to heading

• Unified ELT pipeline for YouTube + Meta : dlt ingestion, dbt transformations, BigQuery storage
• OBT model ~2,300 rows powering an analytics dashboard
• Automated orchestration via GitHub Actions (3 daily runs)

Web Analytics — OTM Festival (2025) Link to heading

• On-premise deployment of Matomo Analytics (Docker VPS)
• GDPR consent management, user anonymization
• Sales analysis : 50% of tickets sold 4 days before the event

Professional Musician (2006-2023) Link to heading

• 800+ concerts, 15 studio albums, 200+ students
• Commercial negotiation, project management, work discipline

TECHNICAL SKILLS Link to heading

• Data Engineering : Python, dlt, SQL, dbt, DuckDB, BigQuery
• Automation & AI : LangGraph, LangChain, LLM (Gemini, DeepSeek)
• Infrastructure : Docker, Traefik, GitHub Actions, VPS Linux
• Web Scraping : Playwright, Firecrawl, REST/GraphQL APIs
• Web Analytics : Matomo, Google Analytics 4, Google Tag Manager

LANGUAGES Link to heading

• French : Native
• English : B2
• Spanish : Conversational