Contract data engineer · Munich
I move legacy & SAP systems into scalable, AI-ready data platforms.
I'm Eddie, a contract data engineer in Munich. I move German Mittelstand companies off legacy systems (SAS, SQL Server, SSIS, SAP, on-prem warehouses) onto governed, cloud-native platforms their teams can actually run. Built scalable, built AI-ready, handed over documented.
Two problems, deeply.
I focus on what I do best, not everything. These are the two specialties clients hire me for again and again. They aren't mutually exclusive, as they stem from the same engineering principles.
Legacy-to-modern transformation
Moving companies off SAS, SQL Server, SSIS, SAP, and on-prem warehouses onto governed, cloud-native lakehouses. All while keeping the business running without ending up with something only the freelancer can maintain.
- Legacy assessment & migration roadmap
- Lakehouse architecture: Databricks, Delta Lake, Snowflake
- ETL/ELT with dlt, dbt, Airflow
- Zero-downtime cutover & validation
- Documented handover from day one
SAP & ERP data, made AI-ready
Bringing SAP and ERP data into a clean, governed analytics layer the business and AI can actually use. Profiled, mapped, modelled, and validated, not dumped into another warehouse nobody trusts.
- SAP S/4HANA, SAP PLM, and the systems around them
- Schema mapping, profiling & validation
- Data Vault 2.0 modelling for the analytics layer
- Governed, AI-ready marts with quality checks
- Audit-trail built in
Cloud data platforms shipped across 4 industries.
Infrastructure cost reduction on a warehouse re-platform.
Years building and shipping software, five of them in data.
Currently mid-flight on an international S/4HANA migration.
Proof, not adjectives.
While client names have been withheld for privacy, the data and methodologies are real. The write-ups are archived under Notes.
downtime
Re-platforming a legacy ERP data estate to the cloud
Database design, Python development, and bilingual coordination across an international S/4HANA programme. Built data pipelines to handle schema mapping, profiling, and validation so the business never stops while the platform moves underneath it.
Retiring legacy SAS analytics for a governed lakehouse
Moved scattered, hard-to-maintain SAS workflows onto a modern warehouse with automated quality checks and a paved path the in-house team owns. Cut infrastructure costs and 60% faster reporting cycles.
A low-risk on-ramp to bigger work.
Start small and scoped. Every step credits toward the next, and every engagement ends with documentation and handover.
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.
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.
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.
Build & migrate, then care
A full legacy-to-cloud or SAP migration on a flexible day rate, then an optional retainer to keep it healthy.
Eddie supported the data migration for our PLM implementation and worked closely with me on the business side: preparing data from an existing database, converting SAP bills of materials including water calculation into a new recipe format, and providing and validating the corresponding migration files on the PLM database. Particularly noteworthy is that Eddie understood complex data structures, built logical rules for the new PLM data structure, and set up clear documentation. He works carefully, is an excellent discussion partner, and the entire project team thanks him for the strong collaboration.
Eddie is a highly skilled data engineer with deep expertise in modern data platforms. He successfully led the migration of our legacy data warehouse to a modern cloud-based architecture, implementing best practices in data modeling and pipeline orchestration. His ability to balance technical excellence with business requirements, combined with his strong communication skills, made him an invaluable asset to our team. I highly recommend Eddie for any complex data engineering projects.
Working with Eddie on our data lakehouse implementation was exceptional. His expertise in Delta Lake, Databricks, and Airflow enabled us to build a scalable, production-ready platform that handles millions of records efficiently. Eddie's systematic approach to data governance and quality assurance, combined with his ability to mentor junior team members, significantly improved our data engineering capabilities. He delivers high-quality work on time and is a pleasure to collaborate with.
Migrating an international SAP S/4HANA data estate to the cloud for a global consumer-goods manufacturer: database design, Python pipelines for schema mapping and validation, and bilingual coordination across the programme.
Eddie Beloiu
I've been building data platforms for the last five years, mostly for German companies. Before that, eight years of software engineering. The data work is more recent, the engineering instincts are not.
And before any of that, I taught for five years in four countries on two continents. That's where I learned the hardest part of any complex system is making it understandable. I write the doc and I run the handoff, so your team owns the platform after I'm gone.
Have a legacy system to move,
or an SAP migration ahead?
I'd love to hear from you if you're moving off a legacy or on-prem warehouse, planning an SAP or ERP migration, or need a governed, AI-ready analytics layer your team can actually run.