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:
-
dlt: The Python-Native Data Loader That Changes the Build vs Buy Equation
dlt fills the gap between expensive managed ELT and building from scratch. Learn when this Python-first data loading library is the right choice for your team.
dlt bigquery python data engineering -
Defining Metrics in dbt: Best Practices and Patterns
Learn how to define metrics in dbt with MetricFlow. Covers all five metric types, naming conventions, organizational patterns, and common pitfalls to avoid.
dbt data modeling analytics -
Getting Started with the dbt Semantic Layer and MetricFlow
Set up the dbt Semantic Layer with MetricFlow: install the package, define semantic models and metrics in YAML, and query from the CLI in Core or Cloud.
dbt data modeling analytics -
The Semantic Layer Revolution: Why 2026 Is the Year
Semantic layers are becoming essential for AI-ready analytics. What's driving adoption, the three competing architectures, and whether you should invest.
dbt snowflake databricks data modeling
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.