Elmer Eidam Junior

I am a Data Analyst with solid experience in Data Engineering, Business Intelligence, and Data Science. I specialize in developing end-to-end data pipelines, dimensional modeling (Star Schema), and enterprise Data Warehouse architecture. I have experience optimizing complex SQL queries, developing advanced calculations in DAX, and applying rigorous software engineering standards to data projects. I have experience developing Machine Learning Proofs of Concept (POCs) (using algorithms such as XGBoost and Random Forest) to support strategic decision-making for commercial, marketing, credit and operations teams. I have a performance- oriented, scalable, and data-driven profile.