Masa Fukui is a data engineer with nine years of experience building analytics platforms and ETL pipelines, currently delivering production data workflows at Nowcast using Airflow, DBT, Snowflake, AWS, Docker and Python. He transitioned from business operations and BI roles at VMware, bringing a strong blend of product-focused analytics and hands-on engineering that helps bridge stakeholder needs with scalable data infrastructure. Skilled in Python, pandas, web scraping, SQL/Postgres and MongoDB, he also develops APIs and enjoys applying Flask for lightweight services. Masa is passionate about data engineering technologies such as Spark, Hive and Kafka, and is actively deepening cloud-native practices. Based in Yokohama with an econometrics background from Keio University and business-intel study at Queen’s, he pairs quantitative rigor with pragmatic engineering; outside work he’s a hobbyist Python coder who often turns web-scraped data into insight-driven prototypes.
9 years of coding experience
1 year of employment as a software developer
Exchange Program, Business Intelligence, Smith School of Business, Exchange Program, Business Intelligence, Smith School of Business at Smith School of Business at Queen's University
Bachelor's degree, Econometrics and Statistical Analysis, Department of Business and Commerce, Bachelor's degree, Econometrics and Statistical Analysis, Department of Business and Commerce at Keio University
Contributions:28 pushes, 1 branch in 4 years 4 months
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