Mauricio Barrientos is a data engineer with over a decade of technical experience and 5+ years focused on production data and ML pipelines, currently building data infrastructure at Bambuser. He has moved organizations from monolithic lakes to modern lakehouse architectures and productionized ELT/ML workflows using Spark, Airflow, Iceberg/Delta, and cloud-native tooling across AWS and Kubernetes. Mauricio pairs a PhD in Computational Biology with hands-on engineering—bridging rigorous scientific analysis and scalable software practices to deliver timely, decision-grade data products. He’s led data teams and mentored colleagues while shipping features like feature stores, ML microservices, and recommendation engines for music analytics. Motivated by cross-disciplinary collaboration, he seeks opportunities where data solutions directly impact people’s lives.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computational Biology, Doctor of Philosophy (Ph.D.) Computational Biology at Karolinska Institutet
Master of Science (M.Sc.) Computational Systems Biology, Master of Science (M.Sc.) Computational Systems Biology at Aalto University
Master of Science (M.Sc.) Systems Biology, Master of Science (M.Sc.) Systems Biology at KTH Royal Institute of Technology
B. Sc Computer Science, B. Sc Computer Science at Universidad de Costa Rica UCR
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