Description

Senior Data & AI Engineer with 10+ years designing modern data platforms and production ML /

LLM systems on Google Cloud Platform. I partner with startups, scale-ups and large groups —

Spotify, Dailymotion, Kering, Limagrain, Blast Club — to turn data strategy into cost-efficient,

business-aligned products.

My expertise covers the full modern stack: data platforms (BigQuery, Dataform, Fivetran,

Dataplex, event-driven orchestration on Eventarc + Cloud Workflows), in-database ML (BQML,

Vertex AI, XGBoost, K-means), and agentic AI connected to business data (Google ADK, Gemini,

RAG, multi-agent systems). I also lead AWS→GCP migrations, data-mesh implementations, and

FinOps initiatives with measurable outcomes.

My conviction: data and AI create value only when they serve the product and business

outcomes. I combine architectural rigor, pragmatic delivery, and a clear focus on impact.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Arabe
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Paris (jusqu’à 50 km)

Limagrain
Tech lead / Senior Data Engineer
AGROALIMENTAIRE
juillet 2025 - avril 2026 (9 mois)
Paris, France
Designed the architecture of Limagrain's internal agentic platform on Google ADK / Vertex AI, supporting daily operations of the group's Data Platform (ODP): a multi-agent system (specialized agents for proposing, judging, reducing, verifying, and reporting incidents) that detects issues across 22+ monitored services (Dataform, Fivetran, Eventarc, BigQuery), classifies root causes (infra / code-bug / permission), correlates failures with recent commits, and generates actionable remediation steps, this includes Compass, an interactive ADK agent sharing the same tool surface and grounded in ODP documentation, runbooks, and naming / governance best practices (RAG), wrapped in a Next.js + CopilotKit chat UI — lets the data platform team diagnose incidents, get guidance on conventions, and unblock themselves on best practices without escalating.
Owned the LMC Finance data product end-to-end: designed and shipped Dataform pipelines, Cloud Functions, Cloud Run jobs, and the PowerBI semantic model feeding finance reporting — full ownership from ingestion to consumption.
Collaborated with the data platform team to roll out AI-assisted ops practices, reducing manual incident triage time.
Stack: GCP, BigQuery, Dataform, Fivetran, Terraform, Google ADK, Vertex AI, Gemini, RAG, CopilotKit, Pub/Sub, Next.js, Python, Cloud Run, Cloud Functions, PowerBI, Dataplex
Terraform Vertex AI Google ADK Power BI SQL
BLAST.
Fractional Data & AI Architect (Fintech, €50M+ AUM)
CAPITAL-INVESTISSEMENT
janvier 2026 - avril 2026 (3 mois)
Paris, France
Designed and shipped end-to-end data & AI platform on GCP (BigQuery, Dataform, BQML, Fivetran, Eventarc, Cloud Workflows): 30+ refined/golden tables, Eventarc-triggered Cloud Workflows orchestrating Dataform runs and 12 downstream Google Sheets refreshes on every Fivetran landing, CI/CD with gated compile + unit tests, Dataplex data quality and catalog — dashboard freshness reduced from 24h to 3h. Productionized a predictive churn model (BQML XGBoost, AUC 0.90): 50+ behavioral, engagement and transactional features engineered in-database, with segment predictions validated against ground truth.
Extended the ML portfolio on a shared feature store: unsupervised segmentation (BQML K means) for marketing cohorting, and NLP-based frustration detection using LLMs on call transcripts and support tickets to surface at-risk members early.
Built Blast Copilot, a conversational analytics layer on Gemini in BigQuery with a Dataplex business glossary and verified-SQL guardrails for Sales and Marketing.
Delivered the reporting and dashboard layer: multiple Metabase dashboards (engagement, app study, churn, retention, no-invest year 1) plus auto-refreshed Google Sheets connected to BigQuery for operational CRM teams — removed manual reporting work and ensured consistent metric definitions across teams.
Implemented end-to-end data governance: column- and row-level security via Dataplex policy tags, PII masking for analytics dashboards, GDPR-compliant access patterns.
BigQuery Google Cloud Platform (GCP) XGBoost intelligence artificielle MLOps
Kering
Senior Data Engineer
LUXE
janvier 2025 - juillet 2025 (6 mois)
Paris, France
Designed and developed customer domain data products in a data mesh environment.
Supported the evolution of analytical platforms while ensuring continuity of legacy systems.
Contributed to scalable, domain-oriented data capabilities aligned with business priorities.
BigQuery DBT Google cloud Scala Spark