Loïc Bélec

Career Telemetry

A professional timeline of escalating complexity:
From engine metrics to enterprise architecture.

CURRENT_ROLE

Head of Data Platform

Alpine Racing (Renault Group)

JAN 2023 - PRESENT

Leading the design and operation of a hybrid data platform, merging on-premise factory systems with Azure to support Formula 1 & endurance programs under strict regulatory constraints.

Designed a secure hub-and-spoke network with 10 Gbps ExpressRoute, enabling ~3.2 PB/year of data exchange between factory and cloud.
Structured a centralized lakehouse (Bronze/Silver/Gold) handling 134 daily production pipelines and integrating 11 critical systems (SAP, 3DX, Telemetry).
Achieved 80% classified data coverage using OpenMetadata (replacing legacy catalogs) & policy-as-code.
Managed cloud budgets (£1.2M credits) and a €480k professional services engagement, balancing performance with FinOps discipline.
Integrated HPC capabilities (up to 200 HB120rs_v3 nodes, ~0.9 PFLOP) with storage pipelines for advanced simulation workloads.

Azure Databricks Synapse OpenMetadata Neo4j FinOps

High-Performance Data Architect

Alpine F1 Team

JUL 2018 - DEC 2022

Cross-site Role: Viry-Châtillon (FR) Enstone (UK)

Architected the high-frequency telemetry platform combining kdb+ and Azure to aggregate wind tunnel, simulator, and trackside data.

Selected and implemented kdb+ for its superior time-series performance over SQL/NoSQL alternatives.
Designed end-to-end infrastructure fully automated with Terraform & IaC best practices.
Integrated Kafka across factories and trackside for low-latency data ingestion (Peak: 20M samples/sec).

kdb+ / q Terraform Kafka (20M/s) NetApp

Data Engineer

Renault F1 Team | 2014 - 2018

Consolidated CFD, telemetry and test-bench data into a unified structure.
Designed object-oriented MATLAB frameworks for race analysis still in use today.
Automated engine performance reporting, drastically reducing turnaround time.

R&D & Engineering Labs

Architecture diagram of a RAG System with LoRA on Azure

AI / LLM

Graph-RAG System + LoRA

Deployed an LLM-powered agent over a 15.8M node knowledge graph. Fine-tuned LoRA adapters locally to maximize precision on complex engineering queries without exposing IP.

ASK_DETAILS

RUST / DATA ENGINE

Pitgun — High-Performance Data Engine

Designing and building Pitgun, a high-performance data engine written in Rust to ingest, normalize and compute time-series data at scale. Inspired by Formula 1 telemetry, HPC and financial systems, Pitgun introduces canonical data models, AST-driven formulas and manifest-based pipelines.

ACCESS_DOCS

Governance by Design

Achieved 80% classified data coverage using OpenMetadata & policy-as-code.

FinOps Discipline

Optimized £1.2M cloud credits with ~£150k actual spend via aggressive spot instance usage.

Hybrid Leadership

Bridging the gap between C-level strategy boards and low-level engineering implementation.

Education

Tongji University, Shanghai

MSc Industrial & Mechanical Engineering

Research on U-shaped assembly line balancing (U-ALBP).
Recipient of the CSC Government Excellence Scholarship.

Arts & Métiers ParisTech

Master’s Degree in General Engineering

One of France’s leading Grande École. Focus on industrial excellence, applied sciences, and mechanical systems.

Core Stack

INFRASTRUCTURE

Azure Terraform Docker Kubernetes Ansible

DATA & AI

Databricks Spark Kafka Python SQL Rust OpenMetadata

ARCHITECTURE

Lakehouse Hub-and-Spoke FinOps DevSecOps

LANGUAGES

French (Native) English (Fluent) Mandarin (Intermediate)

F1-Grade Architect

System Metrics