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:
-
BigQuery and Cloud Storage: Data Lake Patterns for 2026
A decision framework for native BigQuery tables, BigLake external tables, and BigLake Iceberg tables, covering cost, performance, and catalog infrastructure trade-offs.
bigquery gcp data engineering data modeling -
Deploying dbt Core on Cloud Run Jobs: Complete Setup Guide
Deploy dbt Core on Cloud Run Jobs with Workload Identity, Cloud Scheduler, and Eventarc triggers. Complete guide from Dockerfile to production-ready setup.
dbt gcp bigquery data engineering -
Cloud Run Jobs vs. Cloud Composer for dbt: A Cost-Conscious Decision Framework
Compare Cloud Run Jobs and Cloud Composer for dbt orchestration on GCP. Learn when each makes sense based on cost, complexity, and operational requirements.
dbt gcp bigquery data engineering -
GCP Data Platform Architecture: Strategic Patterns for 2026
Decision frameworks for GCP data platforms in 2026: open lakehouse with BigLake Iceberg, Cloud Run Jobs for dbt orchestration, and security patterns.
gcp bigquery dbt data engineering
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.