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:
-
Google Workspace finally gets a CLI, and it was built for AI agents
The gws CLI gives programmatic access to every Google Workspace API through a single binary, with built-in MCP server and agent-first design principles.
gcp mcp claude code automation -
GCP IAM for Data Teams: Least Privilege Done Right
Audit and tighten GCP IAM for data platforms. Per-workload service accounts, policy tags, row-level security, and patterns to eliminate security shortcuts.
gcp bigquery data engineering cost optimization -
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
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.