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.

Get in touch Start with an audit

Available

Previously worked with

Sound familiar?

Three patterns I see in almost every engagement. If you recognise two of them, it’s usually worth a conversation.

Reconciling GA4 with the ad platforms eats half the week, and you’re still not sure which one is right.

Attribution

Your marketing team has stopped trusting the dashboards, so they go build their own in Sheets.

Trust

Your consent setup hasn’t been touched since GDPR, and you’re one CNIL letter away from a problem.

Compliance

These are common problems with known fixes.

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.

Start here

Marketing Data Audit

Know exactly what’s broken, and what to fix first.

Learn more

Duration1–2 weeks

FormatFixed price, fixed scope

Starts with a free 15-min call

Already know what you need?

02Tracking & Consent SetupTracking that works. Consent that complies.03Marketing Data Stack BuildA modern data stack built for how marketing teams actually work.04AI Agents for Data TeamsAI workflows that do the boring parts so your team can do the thinking.05Fractional Analytics EngineerAn analytics engineer on your team, without the hire.

About

I work with AI, not despite it.

Independent analytics engineer based in Paris. I’ve spent the past several years cleaning up marketing data for brands like ba&sh, Nutrimuscle, and PSG. My Claude Code workflow means I deliver faster with less overhead. On the side, I volunteer with La SPA, a French animal welfare organization.

More about how I work

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.

Note Mar 2026

Attribution Analysis

A structured guide to marketing attribution — from SQL implementation patterns through multi-model comparison, dashboard design, and incrementality testing

bigqueryga4dbtanalytics

Note Mar 2026

Attribution Channel Grouping Strategy

How to group marketing channels for data-driven attribution -- balancing granularity against data sparsity to produce stable, actionable model results

bigqueryanalyticsdata modeling

Note Mar 2026

Attribution Lookback Windows

How to set attribution lookback windows by industry and purchase cycle -- benchmarks, consequences of wrong windows, and implementation in SQL

bigqueryanalyticsdata modeling

All notes

Let’s talk.

Tell me what’s broken. I’ll reply within two working days, and the first step is just a free 15-minute call. If I can’t help, I’ll point you somewhere useful.

Get in touch →