Summary
Yubar Benjumea is a Senior Data Engineer with eight years of experience designing and optimizing large-scale data architectures on AWS, Snowflake, dbt, and Databricks. He combines deep statistical training and a master's in computer science to bridge data science and engineering—moving projects from consultancy into reliable in-house platforms while improving detection and business outcomes. Known for performance tuning AWS Glue and Spark pipelines, he drives cost and time reductions through refactoring, CI/CD, and IaC, and has implemented proactive observability and automated data quality testing for mission-critical reports. As a trusted technical lead, he mentors teams, leads architecture decisions, and acts as the engineering director’s delegate to unblock delivery. An uncommon strength is his background in statistics and research engineering, which he leverages to craft sampling-aware SQL and ML-ready data products across Latin America, Europe, and Asia.
8 years of coding experience
7 years of employment as a software developer
Master's in Informatics Engineering, Computer Science, Master's in Informatics Engineering, Computer Science at Universidad Nacional de Colombia
Master's in world history, History, Master's in world history, History at TECH Global University