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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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 -
Building Custom API Pipelines with dlt: From REST to BigQuery
Build production-ready API pipelines using dlt's RESTClient and REST API Source, with pagination, authentication, and incremental loading to BigQuery.
dlt python bigquery data engineering -
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
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.