Summary
Tako Hisada is an infrastructure and data engineering leader with over a decade of experience building production-grade data pipelines and platform reliability at Google and YouTube. He specializes in scalable data infrastructure, observability, and integrating LLMs into data products to enable advanced ML workflows that support revenue and measurement use cases. At YouTube he led a global 60+ FTE org and a 5-engineer team to deliver reusable validation frameworks and partner integrations that underpin critical Ads Measurement and financial reporting processes. Fluent in English and Japanese, he routinely bridges cross-functional and international stakeholders to drive complex partner and product decisions. Known for hands-on troubleshooting and metrics-driven system design, he combines deep DevOps roots with formal training in data science and management from UC Berkeley and Stanford. Based in Sunnyvale, he uniquely blends legacy systems experience from Japan with modern ML-forward infrastructure practices in large-scale cloud environments.
13 years of coding experience