Independent analytics engineer · Paris
Hi, I’m Adrienne. I help D2C and e‑commerce brands turn messy marketing data into decisions their teams can trust.
Available
Previously worked with
ba&sh PSG L’Oréal Groupe Homebox Nutrimuscle Easypara Dr. Pierre Ricaud
GRDF Kraaft Private Sport Shop
The problem
Sound familiar?
Three patterns I see in almost every engagement. If you recognise two of them, it’s usually worth a conversation.
01
Reconciling GA4 with the ad platforms eats half the week, and you’re still not sure which one is right.
Attribution
02
Your marketing team has stopped trusting the dashboards — so they go build their own in Sheets.
Trust
03
Your consent setup hasn’t been touched since GDPR, and you’re one CNIL letter away from a problem.
Compliance
None of these are unusual. All of them are fixable.
Services
Five ways I work with teams.
Start with an audit if you don’t know exactly what you need. That’s often the fastest way to find out.
01
Marketing Data Audit
Know exactly what’s broken — and what to fix first.
02
Tracking & Consent Setup
Tracking that works. Consent that complies.
03
Marketing Data Stack Build
A modern data stack built for how marketing teams actually work.
04
AI Agents for Data Teams
AI workflows that do the boring parts so your team can do the thinking.
05
Fractional Analytics Engineer
An analytics engineer on your team, without the hire.
Garden
From the garden.
A growing pile of working notes — dbt, BigQuery, marketing data, AI agents. Some are seedlings, some are evergreen. Worth a browse if you want to see how I think.
dlt Secrets Management
How dlt's configuration hierarchy keeps credentials out of code — the priority order, secrets.toml for local development, environment variables for CI/CD, and vault integrations.
LinkedIn Ads B2B Data Value
What makes LinkedIn Ads data uniquely valuable for B2B analytics — professional demographic pivots, the negative CTR-to-pipeline correlation, company-level impression attribution, and what metrics actually matter.
Ad Platform Attribution Bias
Why every ad platform overcounts conversions, how walled-garden incentives create measurement gaps, and what only becomes visible when ad data lives in the warehouse
Let’s talk.
Tell me what’s broken. I’ll reply within two working days with whether I can help — and if I can’t, I’ll point you somewhere useful.
Get in touch →