Freelancer profile translated to English.

Description

Lead Analytics Engineer & AI engineer

Doctorate engineer with 8+ years of experience in data, I've had the opportunity to have a varied career: building data infrastructures from scratch, modeling complex data, creating dashboards for executives, and supporting teams towards autonomy.

What sets me apart is this dual perspective. My entrepreneurial background taught me to think business before thinking technical. My data expertise then allows me to translate these challenges into concrete, reliable, and sustainable solutions. I have notably managed data for areas with significant financial stakes (€100M+), with an obsession for data quality and governance.

I can support you with:

- Data architecture & modeling: design from scratch, Kimball schema, BigQuery, dbt

- Dashboards & BI: decision-making reporting, self-service BI (Metabase, Looker)

- Governance & quality: data reliability, monitoring, documentation

- Automation & AI: intelligent workflows (N8N, LLMs), deployment of AI solutions

- Data-driven culture: team training, self-service, change management

Would you like to discuss it? Feel free to write to me to discuss a project or exchange on a particular issue.

Rémy

Languages

Spanish
Basic
English
Fluent
French
Native or bilingual

Workplace preferences

Can work on-site

Annecy (up to 50km), Paris (up to 20km), Lyon (up to 20km), Genève (up to 20km)

Worldia
Head of Data Analytics & Senior Analytics Engineer
TRAVEL AND TOURISM
January 2023 - Today (3 years and 7 months)
Paris, France
Data Infrastructure Reconstruction and Data-Driven Culture Deployment

Mission: Complete reconstruction of the Data Stack and evangelization of the Data-driven culture
Complete reconstruction of the Data platform (GCP/BigQuery): Creation of an analytical architecture (Star Schema, governance, data quality) that became the single source of truth for 100+ active users and the Executive Committee.
Reliability of financial KPIs (€130M GBV/year): Reverse-engineering of billing flows for 100% automated accounting reconciliation, serving as the single source of truth for the CFO and CEO.
Deployment of AI in Production (LLMs, Agentic Workflows): Implementation of autonomous agents (N8N, MCP) and RAG architectures to automate complex operations (flight management, FAQ support, etc.), generating savings of 1.5 FTE and reducing processing time from 48 hours to 10 minutes.
Data Culture & Self-Service BI: Launch of the "Data Champions" program (8 referents) and upskilling of teams, eliminating the technical bottleneck for complete autonomy in daily analyses.
Roadmap & Strategic Analytics: Definition of the Data/AI vision at the Executive Committee level and operational production of dashboards and ad-hoc analyses (Segmentation, Churn, Margins).
SQL Metabase dbt Big Query
Galeries Lafayette
Data Visualization & Business Intelligence Expert
FASHION AND COSMETICS
August 2022 - December 2022 (4 months)
Paris, France
Creation and maintenance of visualization tools for the marketing and purchasing teams
BigQuery data modeling and Data Studio dashboards: KPI tracking, campaign analysis, customer behavior.
Collaboration with marketing/purchasing teams: translating business needs into actionable metrics.
Retail analysis: product performance, customer segmentation, purchasing strategy optimization.
Google Data Studio Data Visualization Big Query Looker MySQL
Watiz
Head of Data - Founder
E-COMMERCE
September 2016 - July 2022 (5 years and 10 months)
Watiz is a fashion tech company.

Entrepreneurship & Strategy
Creation of the solution from A to Z: market research, business plan, fundraising of €1.3M
Recruitment and management of a team of 6 people (product, data, tech, communication)
Go-to-market strategy: user acquisition (0→300K), growth marketing, brand partnerships
Technological watch and product roadmap definition

Data and BI
Production data architecture: creation of a database and tables feeding the B2C app (300K users), maintenance and continuity in a production environment.
Automated ELT pipelines in Python: data retrieval, migration, and hosting on AWS.
SaaS DataViz platform (Data Studio then Tableau / Big Query): SQL queries, fashion brand dashboards, presentations to prospects/clients.
MySQL Big Query Tableau Software Google Data Studio Looker