Summary
Renato Perez is a Growth Data Scientist with 11 years of experience building scalable data pipelines and driving data-informed growth across tech and enterprise environments. He blends hands-on data engineering (Python, Spark, dbt, Airflow, AWS) with analytical modeling to translate marketing and product signals into measurable business impact, from automating 6-hour processes down to minutes to improving data processing efficiency by up to 80%. His work spans leading ETL and data warehouse implementations at Amazon, The Home Depot, and startups serving South America, as well as applied analytics for ticketing and ad performance at SFJAZZ. With an MS in Business Analytics and a full-stack AI engineering bent, he’s comfortable shipping production systems and prototyping models end-to-end. Notably, he has driven large-scale integrations of semi-structured data (500M+ records) into analytics-ready Redshift tables while embedding sustainability metrics like carbon tracking into product telemetry.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at San Francisco State University
Bachelor's degree, Systems Engineering, Bachelor's degree, Systems Engineering at Universidad de Lima