Summary
Dan Yamamoto is an Application Engineer with 17 years’ experience specializing in big data extraction, analysis, and backend development, currently shaping merchant-facing analytics at Rakuten in Chiyoda, Japan. He combines strong HiveQL/Hadoop expertise with Python and PHP to turn shipment, order, and consumer behavior data into actionable insights surfaced via Tableau and Rakuten Merchant Server. Beyond feature work, he has improved internal data platforms and operational tooling—implementing Redis Sentinel, server migrations, and an error management service to reduce team workload. Trained in engineering physics at Nagoya University, he brings analytical rigor to product-facing data systems and a practical knack for simplifying complex pipelines so merchants can spot growth opportunities quickly.
17 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Singapore American School
Bachelor's degree, Engineering Physics/Applied Physics, Bachelor's degree, Engineering Physics/Applied Physics at Nagoya University
English, Japanese