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Raphael Mansuy

Author of OpenGenie · data engineering and AI strategist

Raphael has more than 20 years of global technology leadership experience. He works on democratising data management and AI, and helps organisations build data platforms that survive contact with production. His work covers resilient data infrastructure, machine learning systems, and coaching teams on practice. He leads a startup studio in Hong Kong and writes about AI and data strategy.

Why OpenGenie exists. Databricks Genie Code is the best coding experience for data engineering on the market, and the reason is context: the agent sees Unity Catalog, the warehouses, the notebooks and the jobs, so it works from your data rather than from a guess. What it does not let you do is bring your own model, and its cost is metered by a product you do not configure. Raphael first measured whether that matters — eleven graded tasks in a live workspace, every run published — and found the model was the largest lever. Then he built the application the measurements implied: a Databricks App with the same kind of context, where the model is a setting, writes are fenced to a folder you name, and a claim of “done” is checked against what the agent actually ran.

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