

Detail-oriented data professional with foundational knowledge of database design and the core principals of data warehousing. Proficient in ETL pipeline development using Python and SQL, with aspirations to further develop these skills into the design and deployment of data driven applications. Able to understand customer requirements, and translate them into impactful end-to-end digital processes that drive automation and efficiency.
Committed to leveraging data and an analytical mindset to tackle complex problems and create impactful solutions, while eager to learn and thrive in a collaborative environment through hands-on experience.
Database design and management with Microsoft SQL Server and SQL Server Managament Studio
Automated ETL pipeline for ingestion and maintenance of a custom CVR dimension to support internal processes and Power BI reports.
Streamlit app to streamline the process of extracting data from the Uddannelses Statistik database via API to support report development for local and external customers.