Summary
Kassio Machado is a Senior Software Engineer and Ph.D. in Computer Science with a decade of experience building data and analytics platforms across industry and academia. He has end-to-end expertise in data engineering and analytics—ETL, data lakes/warehouses, pipelines, ML feature engineering and visualization—using Python, Go, Postgres, MongoDB, Airflow and Argo, plus experience with Spark, SQL engines and streaming. His background spans product-scale platform work (Fullscript, Momentive/SurveyMonkey) and large-scale infrastructure at Meta, giving him fluency in both developer-facing services and observability-focused data infrastructure. Comfortable with polyglot stacks (Java, JavaScript, Ruby) and containerized/cloud-native deployments, he combines research rigor with pragmatic production delivery. Based in Canada, he brings a research-to-production perspective that often surfaces subtle data-quality and pipeline design improvements before they hit users.
10 years of coding experience
15 years of employment as a software developer
Master of Science (M.Sc.) Computer Systems Networking and Telecommunications, Master of Science (M.Sc.) Computer Systems Networking and Telecommunications at Universidade Federal do Pará
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Ottawa
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Universidade Federal de Minas Gerais
Estácio de Sá University
Portuguese, English