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:
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Dagster fundamentals for analytics engineers
Dagster's asset-centric model explained for analytics engineers on dbt and BigQuery, with core concepts, dbt integration, pricing, and GCP deployment.
dbt bigquery gcp data engineering -
The orchestration landscape at a glance
Airflow, Dagster, Prefect, and Kestra compared for analytics engineers on dbt and BigQuery. Where each tool stands, who each one fits, and whether you need one.
dbt bigquery gcp data engineering -
Building and publishing your own dbt package
A practical guide to building your own dbt package. Covers project structure, dispatch macros, configurable models, integration testing, and Hub publishing.
dbt data modeling testing -
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
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.