Data & AI Engineer with 7+ years of experience, including 5 in consulting (OCTO Technology), across demanding industries: banking, insurance, energy, media and cloud. I design and harden data platforms (Snowflake, dbt, Databricks, Spark) and put AI into production: agents, LLM evaluation, adoption by business teams. I bridge business and engineering, upskill the teams I work with, and leave behind systems that are documented, tested and maintainable.
What I do
Modern data platforms
Design, take over or modernise a Snowflake or Databricks platform: ingestion, dbt modelling, orchestration, infrastructure as code and CI/CD.
Reliability, security & governance
Data quality, observability, data contracts, access management and GDPR compliance: make the platform trustworthy and auditable.
AI in production
AI agents, LLM evaluation, chatbots and AI adoption by business teams: move from proof of concept to measured production use.
Back on the Data Platform to industrialise the platform's security, governance and reliability.
Designed a GitOps system for temporary Snowflake access: request by pull request, approval, automatic revocation and audit log, including for sensitive (GDPR) data
Moved Snowflake configuration to infrastructure as code (Terraform): network policies, warehouses, service accounts, security tasks; addressed CIS benchmark recommendations
Built a regulatory data mirror (UK data residency) to Azure Blob Storage, with an independent daily integrity check
Migrated CI/CD from Azure DevOps to GitHub Actions, with ephemeral review environments per pull request, a SonarCloud quality gate and a Python 3.13 / uv migration
Agentic tooling for the team: Claude Code skills automating PRs, tickets, diagnostics and routine operations
Two strategic workstreams, PDX (Partner Data eXchange) and DPF (Data Platform Foundation), ensuring the data platform's reliability, scalability and operability.
Technical lead on data contracts: brought 3 partner teams to autonomy in defining and applying the standards
Delivered a hardened end-to-end pipeline (partner exchange → Snowflake), with documentation, knowledge transfer and formalised processes
Optimised the monthly run: 50% of data support requests handled self-service
Full observability with Datadog (alerting, dashboards); rebuilt the data quality framework and introduced Elementary
Designed ETL / reverse ETL pipelines and restructured the dbt codebase by domain; significantly reduced data incidents
Banque de France — Code & IT architecture audit · Following service degradations: mapped and audited the code of the corporate credit-rating components, with remediation recommendations.
AXA France — Document management data model & data use cases · Studied the document management system's data model during its overhaul; recommendations to optimise its use, then extract value from its data.
Argos — Vendor due diligence · Assessed the development and delivery practices and the organisation of a software vendor ahead of its sale.
Monoprix — Deployment practices audit · Assessed in-store software delivery processes and made recommendations tailored to the teams.
Rexel — Data organisation audit · Analysed how customer data is produced and consumed; recommendations on organisation, data products and governance.
