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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Writing Reusable Macros: DRY Principles for dbt
Learn when to create dbt macros and when to leave code inline. Practical patterns for naming, folder organization, testing, and avoiding premature abstraction.
dbt data modeling data engineering testing -
10 Macros That Should Be in Every dbt Project
The essential dbt macros from packages and custom patterns that handle 80% of repeated SQL work. Practical examples for surrogate keys, date spines, and more.
dbt data modeling data engineering -
dbt Macros: From Jinja Basics to Production Patterns
Master dbt macros from Jinja fundamentals to production patterns. Covers dbt-utils, dbt-expectations, and design principles for maintainable macro code.
dbt data modeling data engineering -
Loading Google Ads Data to BigQuery: Four Approaches Compared
Compare BigQuery Data Transfer Service, Fivetran, Google Ads Scripts, and dlt for loading Google Ads data. Includes costs, limitations, and decision framework.
bigquery google ads data engineering etl
about me:
Analytics Engineer at unnest, where I turn messy marketing data into something teams can actually trust. I'm obsessed with 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.