Stephanie Peña is a data engineer with nine years of experience building analytics and automation across retail, supply chain, and product teams, currently driving data solutions at Amazon in Seattle. She blends hands-on data engineering with a background in data science and product management, having improved reporting, inventory insights, and catalog integrity to drive sales and reduce errors at Quidsi and zulily. As a former General Partner at Paramation she applied machine learning and schema design for client-facing and product initiatives, bringing an entrepreneur’s mindset to operational problems. Known for automating repetitive workflows and designing robust data checks, she consistently delivers measurable business impact—often halving execution time or cutting error rates by the majority. Her cross-functional experience and study abroad background give her a practical global perspective on product and customer-facing data challenges.
9 years of coding experience
3 years of employment as a software developer
Certificate in Data Science, Data Science, Certificate in Data Science, Data Science at Galvanize - Seattle, Pioneer Square
Bachelor of Science (BS), Business Management, Bachelor of Science (BS), Business Management at Rutgers Business School
Study Abroad, International Business and Korean Music, Study Abroad, International Business and Korean Music at Ewha Womans University
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