Pablo Estefó is a Lead Data Engineer and PhD-qualified software engineer based in Santiago with 15 years of professional experience and 7+ years focused on software and data roles. He designs and modernizes analytical stacks—recently leading a Databricks medallion architecture migration and building Delta Lake pipelines processing 60M+ monthly records with cross-layer data quality audits. Pablo blends hands-on backend and MLOps work (from feature stores and delivery-time estimation at Cornershop to MLOps for e-Maintenance at LATAM) with proven people leadership, having managed two multidisciplinary teams and impacted hundreds of business clients and thousands of end users. His research background in software engineering for robotics informs a methodical, measurement-driven approach to solving data quality and upstream-bug issues that affect critical metrics. Colleagues describe him as a versatile connector who moves projects from prototype to production while raising engineering and governance standards.
14 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Computer Software Engineering, Paused: September 2019. Resumed: October 2021. Graduated: May 4, 2023, Doctor of Philosophy - PhD, Computer Science, Computer Software Engineering, Paused: September 2019. Resumed: October 2021. Graduated: May 4, 2023 at Universidad de Chile
Contributions:167 commits, 1 PR, 43 pushes in 4 years 1 month
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