hello, i'm
Adrienne
Vermorel
Turning messy marketing data into something teams can trust — with a lot of help from AI.
what i write about:
latest cuts:
-
dbt-audit-helper: validating refactors and migrations
How to use dbt-audit-helper to validate dbt model refactors and SQL-to-dbt migrations, with a progressive workflow from schema checks to row-level diffs.
dbt data quality testing -
dbt-utils: every function explained
A complete reference for every macro, test, and helper in dbt-utils v1.3, including what moved to dbt-core, code examples, and cross-warehouse gotchas.
dbt data modeling testing -
The dbt package ecosystem: how it works and what's available
How the dbt package system works under the hood: installation types, version resolution, common pitfalls, and the best packages for analytics engineers.
dbt data modeling data quality -
Consent Mode v2: implementation, enforcement, and the ten mistakes breaking your data
How Consent Mode v2 works, what July 2025 enforcement broke, and the ten implementation failures that silently corrupt your GA4 and Google Ads data.
ga4 google ads analytics data quality
about me:
Analytics Engineer at unnest, where I turn messy marketing data into something teams can actually trust. I'm deep into AI-powered automation — my goal is to transfer as much of my know-how as possible to my coding agents and let them do the heavy lifting.
I write about dbt, modern data stack, and the growing overlap between data engineering and AI. I also volunteer my data and marketing skills for a French animal welfare organization, because every skill deserves a side quest.