CV
Eddie Beloiu
Contract Data Engineer. I migrate legacy and SAP systems into scalable, AI-ready data platforms. Based in Munich, Germany. English and German.
Experience
Data Engineer: SAP S/4HANA to PLM Migration
International SAP S/4HANA to SAP PLM master-data migration for a global food manufacturer, engineered end to end and delivered to production.
- Built and shipped the Python ETL that migrated raw-material and finished-product master data into the production SAP PLM system
- Implemented bill-of-material to recipe logic, including the recipe water-content calculation
- Safeguarded the production cut-over with batched SQL loads, reconciliation audits, and automated tests
- Coordinated validation and sign-off in German and English across teams in the Netherlands, Germany, and Spain
Contract Data Engineer
Independent contract data engineering for German Mittelstand clients: migrating legacy and SAP systems onto governed, cloud-native platforms with AI-ready analytics layers.
- Cloud platform consulting and MLOps infrastructure for AI applications
- Agentic workflows with LangChain/LangGraph
- ETL pipeline development and Python automation
- AI model evaluation and integration with Pydantic and MLflow
- Lakehouse architecture design and data quality rule implementation for client data products on Azure Databricks
- Azure DevOps CI/CD pipelines and Terraform IaC for repeatable environment provisioning
- Active member of GDG Munich (Google Developer Group)
Data Engineer
End-to-end data platform engineering at a mid-sized technology company.
- Architected end-to-end data platform (Snowflake, Python)
- Data Vault 2.0 modelling for the analytics layer
- Designed data governance processes and implemented data quality rules across ingestion and integration pipelines
- Built Fabric Retrieval System with REST API and change tracking/alerting
- Microsoft Fabric Data Warehouse prototype for finance and controlling
- Integrated Google Cloud and BigQuery into existing pipelines to pull marketing data for ML models and analysis/dashboards
- Agile delivery via SCRUM with JIRA for backlog management, sprint planning, and release tracking
Data Engineer
Data platform and BI engineering for two Bertelsmann group companies, working across marketing analytics, lakehouse architecture, and ML deployment.
- Designed Delta Lake lakehouse platform (Azure Databricks) for 23M+ records, including medallion architecture and data integration interfaces for downstream services
- Implemented PySpark-based data quality rules and validation checks across Bronze/Silver/Gold layers
- Deployed Bayesian ML model (PyMC3) on Azure ML Studio with full CI/CD and inference pipeline; 8% deviation from actual ROAS in A/B tests
- Built FastAPI REST API for downstream service integration
- Developed Power BI semantic models and DAX measures for marketing performance reporting and campaign analytics
- Integrated Google Cloud and BigQuery into existing pipelines to pull marketing data for ML models and analysis/dashboards
- Automated Tableau backup and version control (Python, Git), adopted as standard across multiple departments
- Developed GenAI NLP tools: sentiment analysis (Hugging Face Transformers) and text summarisation (BART) with batch processing and quantisation
- Ran monthly Python training sessions for 8 team members
Sales Data Analyst
Fixed-term internship at a remote-first logistics-tech startup.
- Python-based tools for data analysis and automation
- Lead generation via automated and manual web scraping
- CRM (HubSpot) workflow and tracking dashboard setup
Technical Lead
Technical Lead at a small company, overseeing full stack development across web applications, databases, and DevOps infrastructure while managing business operations.
- Full stack development: Java, Angular, React, Spring Boot, Node.js
- Databases: PostgreSQL, MySQL, REST APIs with TypeScript
- DevOps: Docker, Kubernetes, CI/CD pipelines, Git
- Integrated Google Cloud and BigQuery into existing pipelines to pull marketing data for ML models and analysis/dashboards
- Business leadership: company formation, client acquisition, financial management, and team coordination
English Language Teacher
Taught English as a foreign language across four countries, developing cross-cultural communication skills and adapting to diverse learning environments.
- Delivered language instruction to students of varying ages and proficiency levels
- Developed customized lesson plans and educational materials
- Adapted teaching methodologies to different cultural contexts and educational systems
Skills
Data Platforms
Data Engineering
AI & ML
Programming
DevOps & Tools
Compliance & Governance
Education
Bachelor of Science in Computer Science (incomplete)
Bachelor of Science in Natural Sciences
Languages
Certifications
dlt ELT Advanced Specialist
dlt ELT Specialist
Master of ELT Best Practices
Data Vault 2.0
Hands-On Essentials: Data Warehousing Workshop
dbt Fundamentals
Databricks Lakehouse Fundamentals
Linux Administration
Python Certification
Open Source
Local SLM Data Cleaner
Fine-tunes a 0.6B Qwen on-device (LoRA + MLX) to normalize messy SAP master data. Runs locally, no cloud API, no GPU rental, no GDPR exposure. Where rule-based pipelines need a new rule for every spelling or alias, the model absorbs the long tail in one pass.
Enterprise Context Layer
Captures scattered, contradictory company knowledge (Slack, Jira, Confluence, etc) that search can't touch. LLM agents synthesize cited knowledge into a Markdown git repo; parallel workers coordinate via git's push-rejection as a built-in sync. No Redis, no message broker needed. Loads narrow skill files on task match instead of one bloated system prompt. Runs on Claude Code, Codex, OpenCode, Ollama, or Pi.
Let's talk about your platform.
Munich-based, working across the DACH region. Every engagement includes documentation and handover.