Raphael Cousin
Data Engineer
Paris, Ile-de-France
Summary
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SeniorRaphael Cousin is a Research Engineer and data-savvy practitioner with nine years of experience building cloud-native data platforms, ML systems and scalable production pipelines across startups, public utilities and academia. He has led teams and shipped end-to-end solutions—from migrating ETL to dbt and operating thousands of Airflow DAGs on Kubernetes to deploying MLOps and LLM/RAG services—demonstrating strong cross-functional delivery in supply chain, water management and recommender systems. Comfortable across AWS, GCP and Azure, Raphael blends deep mathematical training with hands-on software engineering (Python, Spark, Kafka, Terraform) to optimize performance, cost and governance at scale. He teaches practical data science at Sorbonne University, sharing industry-grade workflows (Git, Docker, reproducible environments) with graduate students while continuing freelance engagements that span cloud migration, DataOps and ML deployment. Notably, he scaled a SaaS data platform from hundreds to over a million items and routinely manages pipelines processing hundreds of millions of integration rows daily.
9 years of coding experience
Github Skills (4)
gtk6
reinforcement-learning5
geospatial5
machine-learning-models3
Programming languages (3)
Github contributions (5)
racousin/rl_introduction
Jan 2020 - Jan 2023
An introduction to model-free reinforcement learning
Contributions:127 commits, 18 PRs, 154 pushes in 3 years 1 month
reinforcement-learning
racousin/data_science_practice_2024
Sep 2024 - Mar 2025
Contributions:111 reviews, 43 PRs, 35 pushes in 6 months
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