📍 Paris | Senior Data Engineer / Tech Lead | Cloud Data Platforms, Data Products, AI coding
Senior data engineer with 9+ years of experience designing, building, and operating cloud data platforms. I work on data architecture, data products, batch and streaming pipelines, and modern analytics stacks with Spark, dbt, and Airflow, while exploring AI coding tools to improve engineering productivity and accelerate prototyping.
- Design and evolve scalable data platforms for analytics and operational use cases
- Build data products with strong ownership, quality, and observability
- Work on data mesh-oriented architectures and domain-driven data organization
- Develop batch and streaming pipelines on AWS and Google Cloud
- Explore AI-assisted engineering workflows to move faster and prototype better
-
🔨 dbt-forge
Python CLI for scaffolding production-ready dbt projects with opinionated defaults, adapter templates, and optional GitHub Actions and SQLFluff setup. -
🖥️ airflow-bar
macOS menu bar app for monitoring Apache Airflow DAGs, with multi-environment support, Airflow API polling, and failure/recovery notifications. -
🌊 uniflow
Open-source customer data platform built to run in your own AWS account, with event collection, identity resolution, unified profiles, segmentation, and destination connectors. -
🔧 SETL
Scala ETL framework powered by Apache Spark, designed to structure data pipelines, modularize transformation logic, and speed up development for data engineers. -
🎭 outlAIer
Experimental AI spectator game where multiple models play an impostor-style social deduction round in public. A side project at the intersection of AI systems, product design, and rapid prototyping.
