Services
Start small. Scope the rest on a call.
Three productized packages get you a fast, low-risk answer: a scan, an audit, or a working POC. Anything larger like a full legacy-to-cloud or SAP migration, or an ongoing care retainer, is what we shape together on a call. Governed, AI-ready, handover documented from day one.
Fixed prices, same-week start. Each step credits toward the next. A scan can become an audit, an audit a POC, and a POC a full build, at your pace. Larger engagements and ongoing care are scoped on a call.
Quick scan
One focused day. I review one specific area e.g. a pipeline, a schema design, or a single integration. Then I deliver a written summary of what I found, what needs attention, and what can wait.
The pain I solve
Teams with a specific question: 'Is this design right?', 'Why is this pipeline slow?', 'Should we redo this schema?' A scoped, same-week answer.
What's included
- One area of focus: pipeline, schema, integration, or deployment
- Written summary with findings
- Three prioritized actions with effort estimates
- Delivered within 48 hours of kick-off
- 60-minute call to walk through the verdict
- €1,200 off Production-readiness audit if you continue
Production-readiness audit
One week. I review your data platform, RAG system, or ML pipeline and deliver an assessment with the five highest-impact issues and a prioritized fix plan. Includes a one-hour walkthrough with your team.
The pain I solve
Teams who suspect something is off, or who need an outside read before committing to a larger build or migration.
What's included
- Code, architecture, and operational review
- GDPR audit-trail readiness assessment
- Cost and performance analysis
- Five prioritized recommendations with effort estimates
- One-hour walkthrough with your team
- €2,500 off Working POC if you continue
Working POC
Up to two weeks. I build a working, documented proof of concept for your data platform problem: pipeline, transformation, lakehouse setup, or AI integration. You leave with code, a short write-up, and a clear path to production.
The pain I solve
Companies who want to validate an approach before committing to a full engagement. Technical leadership who needs something real to show stakeholders.
What's included
- Scoped together in a 30-minute kick-off call
- Working code, not slides
- Documented architecture decisions
- Handover notes and next steps
- Delivered in up to two weeks
When a package isn't enough, these are the two things I'm hired for at depth. They're scoped on a flexible day rate, shaped to your situation. A scan or POC is usually the right way to start one.
Legacy-to-cloud platform migration
Move off SAS, SQL Server, SSIS, and on-prem warehouses onto a governed, cloud-native lakehouse, without the business stopping. Schema design, profiling, validation, cutover, and a documented handover from day one.
The pain I solve
German Mittelstand teams outgrowing SQL Server, SSIS, or scattered notebook workflows, who want to modernize without ending up with something only the freelancer can maintain.
What's included
- Legacy assessment and migration roadmap
- Lakehouse architecture (Delta Lake, Snowflake, or hybrid)
- ETL/ELT pipelines with dlt, dbt, Airflow
- Governed, AI-ready analytics marts with automated quality checks
- Zero-downtime cutover and validation
- Documented handover and team enablement
SAP & ERP data to AI-ready analytics
Bring SAP and ERP data (S/4HANA, SAP PLM, and the systems around them) into a clean, governed analytics layer the business and AI can actually use. Profiling, mapping, modelling, and validation, with the same handover discipline.
The pain I solve
Companies mid-migration, planning one, or stuck inside one. Schema design, profiling, mapping, validation, rollout for German Mittelstand and the manufacturers around them.
What's included
- Legacy and SAP source assessment
- Schema design and Data Vault 2.0 modelling
- Zero-downtime cutover strategies
- AI-ready analytics layer with governed quality checks
- Post-migration performance and cost optimization
Pipeline care retainer
A light monthly engagement attached to any build or migration to keep it running well. Monitoring, maintenance, and steady optimization so pipelines don't rot after handover.
The pain I solve
Teams whose platform is live but who don't have in-house bandwidth to watch it. You want a known expert on call who already knows your system.
What's included
- Monitoring: catch drift, failures, and silent breakage early
- Maintenance: schema updates, API fixes, dependency hygiene
- Optimization: a set block of hours for tuning and improvements
- Priority access for questions between sessions
- Scoped to your system, tiers set after a short call
Not sure which one fits?
Tell me the problem in a sentence and I'll point you at the right starting step (usually a scan or a call). Every engagement includes documentation and handover.