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Ruben Torney, AI consultant and Data Cloud architect in Bordeaux

I help businesses build AI agents, automate workflows and design reliable Data Cloud platforms on Azure. My work draws on 9 years of experience in Data, Cloud and BI, with a current focus on generative AI, RAG and automation, based in Bordeaux.

Microsoft · Azure
Ruben Torney, AI consultant and Data Cloud architect in Bordeaux
9
years of xp
2022
liiink founded
15
client missions
about

My background

I started in 2017 at CGI as a BI analyst-developer — multi-sector application maintenance: luxury (Chanel), transport (Fraikin), manufacturing (Imerys), banking (Crédit Foncier). Then BI consultant at Guarani Atlantique on Cdiscount and Pichet Immobilier.

In 2021 I went independent after meeting my future partners — first solo missions, first convictions. In 2022 we founded Liiink IT — a human-scale data consultancy based in Bordeaux.

My role: Data & Cloud Architect, with technical expertise across Data, AI, DevOps infrastructure and FinOps. Cloud architecture design, data pipeline development, efficient platform industrialization and team enablement. I also bring AI-assisted development into day-to-day engineering: Claude Code, GitHub Copilot, agents, MCP, RAG and context engineering.

Based in Bordeaux, I help companies across France design cloud data platforms, data pipelines, RAG systems, AI agents and automations on Azure. Data engineer by training, consultant specialized in Microsoft Fabric, Databricks, Power BI, DevOps and FinOps.

Understand your need before writing a single line of code. Your business success is the goal — the technical choice is merely the catalyst.
— conviction.txt
// education
Master's Degree MIAGEUniversity of Bordeaux · 2016 — 2018
Bachelor's Degree EconomicsUniversity of La Réunion · 2015
// certifications
SQL AI Developer DP-800Microsoft · 2026
Claude Code in ActionAnthropic · 2026
Model Context Protocol: Advanced TopicsAnthropic · 2026
Fabric DP-700Microsoft · 2025
Terraform 003HashiCorp · 2025
Data EngineerDatabricks · 2023
Azure Data EngineerMicrosoft · 2022
expertise

What I bring

Solid architectures, reliable pipelines, controlled costs.

01 — cloud

Cloud Data Architecture

Modern data architectures on Azure. Medallion architecture, Lakehouse, FinOps, governance and cybersecurity — keeping an eye on costs as well as data protection.

Azure Data Factory Synapse Data Lake Databricks Terraform Cybersécurité
02 — bi

Microsoft Fabric & Power BI

Synapse → Fabric migration, semantic modeling, DAX, high-performance reports. Dashboards that business teams actually use.

Microsoft Fabric Power BI DAX Lakehouse OneLake Tableau
03 — engineering

Data Engineering

Robust ETL/ELT pipelines, orchestration, CI/CD, IaC. Python, PySpark, Kafka, Snowflake, Talend — everything needed to work with data efficiently.

Python PySpark SQL Kafka Snowflake Talend C# Java
04 — ia & automation

Generative AI & Automation

AI agents, RAG, MCP, AI-assisted development and business workflow automation. I integrate AI into reliable, governed and secure Data Cloud architectures on Azure.

AI agents RAG MCP Claude Code GitHub Copilot Context engineering Local AI
tech stack
AzureAzure
Azure SynapseSynapse
Azure Data FactoryData Factory
DatabricksDatabricks
TerraformTerraform
PythonPython
PySparkPySpark
SQLSQL
AzureAzure
Azure SynapseSynapse
Azure Data FactoryData Factory
DatabricksDatabricks
TerraformTerraform
PythonPython
PySparkPySpark
SQLSQL
Microsoft FabricFabric
Power BIPower BI
MSBIMSBI
Azure DevOpsDevOps
KafkaKafka
SnowflakeSnowflake
TalendTalend
GitHub CopilotGitHub Copilot
Microsoft FabricFabric
Power BIPower BI
MSBIMSBI
Azure DevOpsDevOps
KafkaKafka
SnowflakeSnowflake
TalendTalend
GitHub CopilotGitHub Copilot
experience

Professional experience

+ years of data & cloud missions, from consulting firm to independent practice.

01 / 03

Independent consultant, then Liiink IT

Co-founder / Tech Lead Data & Azure Architect
Mar 2021 → Present

Matmut Santé (Ociane) (02/2026→present)
Data Engineer
Migration of a legacy DWH to a modernized stack — redesigning ingestion and transformation flows on an MSBI / SQL Server environment. Development of new data flows and optimization of the existing model. Use of GitHub Copilot and AI-assisted development workflows for code, refactoring, documentation and gradual team enablement on these practices.

Confiancia Tech (02/2026→06/2026)
Azure / DevOps & AI Architect
Global audit of the Azure platform: application security hardening, access-rights management and simplification of access flows. FinOps analysis and cost reduction, monitoring rollout, CI/CD pipeline creation in Azure DevOps, repository restructuring and protection. Developer enablement on CI/CD and AI-assisted development with GitHub Copilot and Claude Code.

Cultura — Team SID (07/2023→02/2026)
Tech Lead Data / Azure Architect
Design and implementation of a modern Data Platform — full medallion architecture on Azure. Development of generic processing per technical component, monitoring & FinOps, CI/CD. Real-time flow integration with Kafka. Technical workshops, documentation and team enablement.

Floa — Data Factory (04-07/2023)
Data Engineer
Development and optimization of Talend/Snowflake ingestion flows. SQL code review process setup, operations monitoring, POC delivery.

Mission Locale (04-07/2023)
Azure Data Architect
Design of an Azure data platform — Data Lakehouse, resource creation and environments, CI/CD deployment. Azure Data Factory training.

CAPEB (06-12/2022)
Azure Data Architect
Design of an Azure data platform — DWH, resource creation and environments, CI/CD deployment.

Pichet Immobilier — Data Team (03/2021→12/2022)
Tech Lead Data / Azure Migration
Migration to Azure Synapse Analytics, modeling and development of a new cloud information system. Loading flow optimization, application maintenance, technical and functional documentation. CI/CD deployment, Purview governance.

SQL ServerSSISAzure Web AppsGitHub CopilotClaude CodeMCPPower BIAzure SynapseData FactoryFunction AppData Lake gen2PySparkKafkaLog AnalyticsDevOpsSnowflakeTalendPurview

Guarani Atlantique

BI Consultant
Jul 2019 → Mar 2021

Cdiscount — Finance IT Department (01/2020→03/2021)
BI Consultant
Application development and enhancements. Modeling, design, technology migrations and POC delivery. Data loading flow optimization. Technical and functional documentation, operations monitoring.

Pichet Immobilier — Data Team (07/2019→12/2019)
BI Consultant
Design and enrichment of a data warehouse. Modeling, application development, loading flow optimization. Technical and functional documentation.

TalendSSASSSRSSSISPower BI

CGI

ICT Engineer / BI Analyst-Developer
May 2017 → Jul 2019

BI Analyst-Developer / Application Maintenance
Multi-sector BI application maintenance: Luxury, Transport, Manufacturing, Banking. Request and incident handling, application development and enhancements, estimations. Technical and functional documentation, user support, administration. Team supervision, scope extension.

Crédit Foncier de France (07/2018→06/2019)
BI Analyst-Developer
SSIS, C#, Power BI.

Fraikin International (07/2017→02/2018)
BI Analyst-Developer
SSIS, SSAS, BPW, Crystal Report.

Chanel (05/2017→05/2018)
BI Analyst-Developer
SSIS, SSAS, BPW.

Imerys (05/2017→06/2019)
Application Manager
OTIC (GENIO), Oracle, TMI, SAP BO, WEBI.

SSIS SSAS SSRS C# Power BI BPW Crystal Report SAP BO WEBI Oracle
open source

Open-source AI contributions

I don’t just test AI tools, I contribute to the engines I use. Measured optimisations and reproducible benchmarks, shipped by the maintainers.

1AI project
2PRs shipped
30.5k ★GitHub stars
shipped · v0.1.442 PRMIT

About +10% tokens/s generation speed for local AI

Two optimisations of the expert arena mode, shipped by the maintainer in release v0.1.44 with my authorship kept.

+10%
generation throughput (tokens/s)
RTX 3090 + Ryzen 5 5600X, cold decode
Local AILLM inferenceMoECUDAPCIe DMAWindows
Show technical detailsHide details

Open-source inference engine that runs large MoE models (Qwen) on consumer hardware, with a local OpenAI- and Anthropic-compatible API.

  • Async adaptive tier (#1904): --adapt-async 1 now works in arena mode on a single GPU. Expert copies no longer block the next verify window (25.9 → 21.6 ms). Result: 97.2 → 107.7 tok/s on an RTX 3090, faster on 12 of 12 prompts. The maintainer measured +4.2 to +5.2% on an RTX 5070 and +7 to +10% on code and document prompts.
  • Pin by need (#1905): on Windows, PCIe DMA registration only covers part of the arena. STRATA_PIN_BY_NEED=1 pins the experts the GPU does not hold first. Prompt read +5 to +7% at 56K–117K tokens, up to +8.5% measured by the maintainer.
  • Method: reproducible cold benchmarks, branch versus baseline, documented limits (gain is neutral after prompts longer than 56K tokens).
Next contribution in progress Local inference, agents and AI tooling: follow my PRs on GitHub
projects

Side projects

Explore, test, share.

Photographie

Photography

Landscapes, nature, architecture, astrophotography. Exploring the world one shot at a time.

View gallery

Blockchain / AI / ML

Passionate about emerging technologies: smart contracts, LLMs, deep learning and their impact on data.

Financial markets

Market monitoring, technical and fundamental analysis. Data applied to finance — a natural playground.

Hiking

Mountains, volcanoes, coastal trails. Disconnecting to better reconnect — Alps, Réunion, Pyrenees.

Football

Fan and player. The ultimate team sport — tactics, commitment and team spirit. Let's go PSG!!!!

Graphic design

Visual creation, photo editing, design. Video editing / post-production, Adobe Suite.

Tech news

Constant technology watch — cloud, cybersecurity, open source, new frameworks and dev trends.

Consultancy founded in 2022 in Bordeaux. Data Engineering, BI, Microsoft Fabric, Cybersecurity. Three partners, one belief: senior expertise, no middleman.

Ruben TorneyAI & Data Cloud Architect · yrs XP ans XP
David BeaudouinBI Expert · yrs XP ans XP
Alexis ConanPO & GDPR · yrs XP ans XP
liiink-it.com →
contact

Let's talk?

An AI project, a business automation, an Azure platform to audit or a Fabric migration to plan? I'm always up for a good technical conversation.

SkyRadar France