🎓 Master’s student in Data Science at the University of Potsdam (Germany)
💡 Aspiring Data Engineer / Data Analyst passionate about scalable data systems and cloud solutions
- Building data warehouses, ETL pipelines, and analytics solutions with modern tools
- Experienced with SQL Server, Python, dbt, Airflow, and PySpark
- Exploring AWS and Azure for cloud-based data architectures
Production-style SQL Server Data Warehouse built with the Medallion architecture (Bronze → Silver → Gold) and automated quality checks.
Languages: Python, SQL, Bash
Data Tools: SQL Server, dbt, Airflow, Spark, Power BI
Cloud: AWS (S3, Glue, Athena), Azure (Synapse, Data Factory)
Other: Docker, Git, Great Expectations, Flask
💬 Always open to collaborations, data projects, and research opportunities.