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Xavier L.XL

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About Xavier

Data & GenAI Engineer with 7 years of experience, I help companies transform their raw data into high-value business AI products, from the data pipeline to conversational agents.

🏗️ Data Engineering & Cloud
I design and deploy scalable data architectures on GCP (BigQuery, Cloud Functions) and Snowflake: ingestion, deduplication, transformation, datamarts. I have built DWH from scratch for clients such as Empruntis, Jeune Afrique, and Pernod Ricard.

🤖 GenAI & AI Agents
I deploy AI agents in production: multi-source RAG architecture, LLM orchestration via Vertex AI, MCP (Model Context Protocol) integration to connect agents to enterprise tools. Latest project: a RAG conversational agent automating Airbnb responses for an agency managing 20 properties, with BigQuery DWH and Looker Studio dashboard.

📊 Analytics Engineering & Product
Analytics Engineering, Google Analytics 4, GTM, A/B Testing (AB Tasty, Dynamic Yield, GrowthBook, LaunchDarkly, ContentSquare). I led the experimentation strategy at Vestiaire Collective and defined the global CRO governance for Sanofi (60+ sites).

🎯 What I can do for you
• Build your BigQuery or Snowflake data warehouse
• Deploy a RAG AI agent on your internal data
• Orchestrate your LLMs (Gemini, GPT-4, Claude) via Vertex AI or LangChain
• Automate your data workflows with n8n, Cloud Functions, or Zapier
• Implement your Analytics & A/B Testing strategy

Clients: Vestiaire Collective, Sanofi, Pernod Ricard, Club Med, Harrods, Stellantis.
Available immediately · Full Remote · France & International
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Agence Airbnb
    Data & GenAI Engineer — RAG Agent & DWH
    CONSULTING AND AUDITS
    January 2026 - April 2026 (3 months)
    Paris, France
    Deployment of a RAG conversational agent to automate email responses to Airbnb travelers for an agency managing 20 properties.

    • BigQuery DWH architecture centralizing revenue and bookings per property
    • LLM orchestration via Vertex AI (Gemini) for contextualized response generation
    • MCP (Model Context Protocol) integration for agent/external tool connection
    • Looker Studio monitoring dashboard for profitability tracking

    Result: complete automation of traveler responses and real-time visibility into each property's profitability.
    AI Agents Agentic AI RAG LLM Vertex AI
  • ELEVATE
    Senior Data & Tech Consultant
    CONSULTING AND AUDITS
    October 2021 - December 2025 (4 years and 2 months)
    Paris, France
    4 years of consulting in Data & Marketing Technologies at Elevate, a firm specializing in supporting major clients in their data transformation.

    As a Senior Data & Tech Consultant, I led missions with a strong technical and strategic dimension for clients such as Vestiaire Collective, Sanofi, Pernod Ricard, Empruntis, and Jeune Afrique — covering three main areas of expertise:

    🏗️ Data Engineering & Architecture
    Design and deployment of cloud architectures on GCP (BigQuery, Cloud Functions) and Snowflake. Building ingestion pipelines, transformation models, and datamarts. Setting up monitoring dashboards on Looker Studio.

    📊 Analytics Engineering & Product
    Analytics Engineering, GA4 implementation, GTM, Product Analytics. Collaboration with product teams to align data with roadmap decisions.

    🧪 CRO & Experimentation
    Definition of CRO strategies, A/B Testing backlog management (AB Tasty, ContentSquare, Dynamic Yield), reporting and statistical analysis of results.

    Clients supported: Vestiaire Collective · Sanofi · Pernod Ricard · Empruntis · Jeune Afrique
    ―――――――――――――――――――――――――――――――――
    🛠️ Internal Project — PSA Analytics Dashboard
    Design and deployment from scratch of a monitoring tool for the firm's revenue and profitability tracking — by team, manager, and practice.

    • Automated ingestion via Cloud Functions connected to the Harvest API
    • BigQuery modeling (OBT tables) + calculation of operating margin (Billed vs Internal Costs)
    • Tracking of managerial objective achievement by team and practice
    • Strategic Looker Studio dashboards for associate directors

    Stack: GCP · Cloud Functions · BigQuery · Harvest API · Looker Studio · Python · SQL

    Result: complete elimination of manual reporting and real-time visibility into the firm's net profitability.
    SQL Python Data Engineer Data Analysis Cloud Computing
  • Vestiaire Collective
    Senior Product Analyst — A/B Testing & Analytics
    LUXURY GOODS
    March 2024 - March 2025 (1 year)
    Paris, France
    Leading the product experimentation strategy for the Engagement perimeter (Like / Favorite features) for one of the world's leading second-hand fashion platforms.

    • Definition and prioritization of the A/B Testing backlog in collaboration with the Product Owner
    • Behavioral analysis of user data to identify optimization levers
    • Weekly reporting and data visualization to guide roadmap decisions
    • Tracking implementation for new product features

    Result: measurable optimization of user interaction and actionable data insights for the product roadmap.
    Product Analytics A/B Testing Analytics Engineer Data Visualization Data Analysis

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Education

  • Master Data Analysis | Sup de Web Certifications
    Master Data analysis | Sup de Web Certifications
  • Google Cloud Platform (GCP), BigQuery.
    Google Cloud Platform (GCP), BigQuery.

Skill set

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