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Data Engineer
Driven by a passion for data, I design and implement efficient data solutions, from conducting feasibility studies with LLMs to creating detailed Entity Relationship Diagrams. I am dedicated to transforming complex data into clear, valuable insights.
Fluent
Basic
Native
Some of my recent work
Built a production-ready medallion architecture data lakehouse on Azure Databricks that transforms 100,000+ raw e-commerce records into business-ready analytics. Demonstrates real-world data engineering challenges including data relationship complexity, incremental processing, and cost-effective cloud architecture—all delivered on a student budget with enterprise-quality patterns.
A comprehensive data engineering project analyzing Formula 1 data, starting with the construction of a core data pipeline using Azure Databricks and Azure Data Factory. The project then progressed to a modern data governance implementation in a focused mini-project, refactoring the solution to use a medallion architecture and Unity Catalog
This project addresses the critical issue of decentralized and un-normalized water level data in Flanders, which hinders effective flood management. The solution is a comprehensive system that collects data from sources like waterinfo.be and custom sensors, normalizes it using OSLO standards, and stores it in a centralized PostgreSQL database. The primary output is a Grafana dashboard, accessible via a web application, which provides local governments with clear visualizations to enable swifter, more accurate decisions for flood prevention.
Professional credentials and achievements