Eddie Beloiu

Freelance Data Platform Engineer

Self-employed

May 2025 – present · Munich

Independent consulting on data platforms, MLOps infrastructure, and AI-augmented engineering for clients in the DACH region.

• 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

Data Engineer

Trevisto AG

Nov 2024 – Apr 2025 · Nuremberg

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
• Agile delivery via SCRUM with JIRA for backlog management, sprint planning, and release tracking

Data Engineer

DeutschlandCard & Territory (Bertelsmann)

Jun 2022 – Oct 2024 · Munich

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
• 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 Intern

Tradelink GmbH (TL Digital Solutions)

Mar 2022 – Jun 2022 · Munich

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