Summary
Daniel Rodrigues is a Data Engineer with a PhD in Physics and a decade of experience applying analytical rigor to finance-sector BI and data-platform work. He combines deep quantitative training and teaching experience with practical skills in Power BI, DAX, Power Query, Python (Pandas, PySpark), SQL and Azure Data Factory to deliver robust reporting and ETL solutions. After pivoting from theoretical physics and NLP/CV collaborations into data science, he completed a Master’s in Data Science at FEUP to formalize his software and ML toolkit. Known for clear communication and a results-driven mindset, he excels at translating complex problems into maintainable data systems and thrives on continual learning and knowledge sharing.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Aberdeen
Master's degree Data Science, Master's degree Data Science at Faculdade de Engenharia da Universidade do Porto
Bachelor's degree Physics, Bachelor's degree Physics at Instituto Federal de Educação, Ciência e Tecnologia do Ceará
Master's degree Physics, Master's degree Physics at Universidade Federal da Paraíba
English, Portuguese