Data & AI Engineer
Data warehouse on Scaleway, a custom MCP server giving AI access to it, and a switching analysis: what took days of matching product lists now takes minutes.
- Scaleway
- dlt
- dbt
- PostgreSQL
- MCP
- TypeScript
- Effect
- Terraform
- Power BI
For engineering teams & recruiters
AWS & EU Sovereign Cloud · Agentic Engineering Trainer
20+ years in software engineering, several of them leading teams, and 10+ years on AWS. I connect systems and build AI applications on top that run reliably at scale – serverless, workflow-driven, cost-efficient. On AWS, or EU-sovereign on Scaleway where data residency isn’t negotiable.


Designing interfaces and making systems work end to end – synchronous and asynchronous: REST/OpenAPI, events and messaging (EventBridge, SQS/SNS), GraphQL where it fits, and MCP for giving AI access to data. AI is the newest set of building blocks to integrate.
Always scalable, fault-tolerant, repeatable and monitored: AWS Step Functions for rock-solid workflows, CI/CD with GitHub Actions, and coding agents woven into issues, pull requests and reviews. AI where judgement is needed, classic engineering for reliability, scale and cost.
Selected projects & positions
Data warehouse on Scaleway, a custom MCP server giving AI access to it, and a switching analysis: what took days of matching product lists now takes minutes.
International reporting platforms in the circular economy for Reclay Austria, Procircular and Léko. Serverless on AWS, an environment per pull request, integration with the group’s systems via Boomi. Led the “DOT Technology” committee.
New service platform for 400,000 customers: multi-account AWS, the online-banking SPA and the system that delivers monthly account statements – both still run reliably today.
Built an 8-person engineering team for a real-estate crowdinvesting platform; integrated an acquired white-label platform; payment and identity verification with external partners.
From the Grepolis launch to leading the Portal and Conversion teams: REST APIs, SDKs for the games, high-availability backends under real load.
Every change starts with a plan I set: architecture, boundaries, acceptance criteria. Coding agents write the code; I review it and own it. Since early 2026 I’ve passed this on in more than ten agentic engineering trainings.
See my trainings →| Title | Issuer | Obtained |
|---|---|---|
| Anthropic | 2026 | |
| AWS | 2025 | |
| AWS | 2023 | |
| AWS | 2020 | |
| AWS | 2020 |
30 minutes to see whether we fit – role, scope, timeline.