Independent data consultant — Montréal
Making your modern data stack AI ready
Most AI initiatives don't fail at the model. They fail one level down, where the data isn't trustworthy, modelled, or in one place. That's the layer I work at.
Services
Three entry points into the same philosophy. You start where you are.
Foundation
No data function yet
You've outgrown spreadsheets and have no data function yet. I build the pipelines, warehouse, and reporting layer — modelled to last, not thrown together.
Platform Maturity
Platform under strain
The platform exists but is fragile, untrusted, or can't keep up with growth. I fix governance, reliability, and ownership so it survives scale.
AI-Readiness
AI mandate, unclear ground
Solid platform, AI mandate from leadership. I make the data structured, governed, and trustworthy enough for an LLM or agent to safely act on.
10×
Hypergrowth in three months at a digital-health scale-up — through IPO and acquisition.
10 yrs
Across analytics, data science, and engineering. Not one silo — the whole lifecycle.
Staff
Data Engineer, Team Lead, and Tech Lead. Senior and hands-on throughout.
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