Nikolaj Andresen is a Data Engineer II based in Dublin with 10 years of experience turning complex data into actionable insights across finance, utilities, and media. With a master’s in physics and a strong math background, he combines rigorous statistical thinking and scientific problem-solving with hands-on ETL, Azure Data Factory, Data Lake, and T-SQL expertise to build robust data pipelines and forecasting models. He has delivered predictive pricing and housing-market forecasts, automated financial consolidation ETL, and applied machine learning for outlier detection and data cleaning at enterprise scale. At Shutterstock he continues to operationalize data solutions, and his open-source backend contributions to the Foundry VTT Pathfinder 2e system show a knack for practical, community-driven engineering beyond traditional analytics work. Known for a curious, investigative mindset and a healthy dose of skeptical rigor, he excels at breaking apart ideas to find optimal, pragmatic solutions.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Aarhus University
A community contributed game system for Pathfinder Second Edition.
Role in this project:
Back-end Developer
Contributions:58 reviews, 4621 commits, 138 PRs in 2 years
Contributions summary:Nikolaj contributed to the development of the Pathfinder Second Edition system for Foundry Virtual Tabletop, mainly focusing on the back-end implementation. Their commits involved implementing features for ancestry vision, and spellcasting, with changes to the item, actor, and rules module directories. They also worked on bug fixes, data migration and test refactoring.
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