Shoichi Kagawa is a Platform Engineer based in Tokyo with 10 years of hands-on experience in infrastructure, SRE, and data engineering across on-premise and AWS environments. He has built and operated high-throughput ad tech systems processing petabyte-scale data and hundreds of thousands of records per second using technologies like Kafka, Hadoop, Kubernetes, and serverless AWS services. At Speee he blended Go, Python, Terraform, Airflow and observability tooling to run ad networks reliably, and now contributes platform-level engineering at PayPay. Comfortable across IaC, CI/CD, and data pipelines, he combines deep operational experience with a pragmatic approach to automation and cost-efficient cloud migration. A master’s-trained engineer, he brings rare experience transitioning large on-prem systems to modern cloud and container platforms while maintaining production reliability.
10 years of coding experience
10 years of employment as a software developer
Master of Engineering (MEng), Master of Engineering (MEng) at 千葉大学
Github Action for mapping variables by a specific key
Contributions:105 commits, 58 PRs, 84 pushes in 2 years 4 months
mappingvariables
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