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 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 -
When to Build vs. Buy Your Data Pipelines in 2026
Fivetran's pricing changes, AI-assisted development, and mature open-source tools like dlt have shifted the build-vs-buy calculation for data pipeline teams.
dlt bigquery python data engineering -
Fivetran vs. Airbyte vs. dlt: The 2026 Comparison
Comparing Fivetran, Airbyte, and dlt for data ingestion in 2026. Pricing models, connector quality, self-hosting trade-offs, and a practical decision framework.
dlt bigquery 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.