Summary
Icaro Alzuru is a data engineer with 11 years of experience building data pipelines, ML feature work, and cloud infrastructure across research and industry. Currently at Spotify, he develops Python/Scala/Scio pipelines and performs large-scale EDA and feature engineering on BigQuery to support freemium machine learning products. His background includes systems and backend engineering at AWS (Java, S3, DynamoDB, Kinesis) and a strong research pedigree—PhD work and multiple first-author IEEE publications on human–machine information extraction and OCR for biological collections. He brings a rare blend of academic rigor and production-grade engineering, having also worked on performance analysis at Intel Labs and delivered national-scale systems earlier in his career. Comfortable across the stack—from low-level performance modeling to cloud-native data processing—he’s based in Rome and combines scientific publishing experience with hands-on delivery in high-scale environments. An often-overlooked strength is his long history of teaching and mentoring, which has shaped his clear engineering communication and leadership.
11 years of coding experience
16 years of employment as a software developer
Engineer’s Degree, Systems Engineering, 3.4, Engineer’s Degree, Systems Engineering, 3.4 at Universidad de los Andes (VE)
Doctor of Philosophy (Ph.D.), Information Extraction and Data Science, 3.5, Doctor of Philosophy (Ph.D.), Information Extraction and Data Science, 3.5 at University of Florida
Spanish, English