Summary
Joshua Asuncion is a data-focused engineer with eight years of experience building and maintaining complex ETL pipelines and research data ecosystems across healthcare and autonomous vehicle domains. He has practical expertise in Python, SQL, Bash, Java, R, AWS/Azure, and HIPAA-compliant handling of high-risk PHI for neuroengineering and clinical datasets. At Penn he harmonized multi-site EEG/MRI and scalp EEG pipelines, ensuring data quality, accessibility, and reproducible workflows for research teams. Earlier work at Waymo applied root cause analysis to real-world driving incidents, sharpening his skills in operational triage and safety-focused data analysis. He also translates technical concepts into teaching materials, having developed interactive data science curricula for UC Berkeley courses. Comfortable bridging research, engineering, and non-technical stakeholders, he’s driven by turning messy real-world data into auditable, actionable products.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Arts - BA Data Science, Bachelor of Arts - BA Data Science at University of California, Berkeley