Full Stack Engineer with 9+ years of experience in data engineering, backend, and full-stack development across large-scale systems. Skilled in building robust data pipelines, analytics platforms, predictive applications, and client-facing portals, with a proven track record of enabling business growth for mid- to large-sized organizations.
Proficient in Python, Java, SQL, Node.js, Ruby, React.js, Vue.js, and cloud platforms (AWS, GCP, Kubernetes, Docker). Strong expertise in data engineering tools such as Airflow, Spark, dbt, Informatica, and modern AI frameworks (OpenAI, LangChain, Anthropic). Adept at integrating analytics into business systems with visualization tools including Looker, Tableau, and Metabase.
Led the design of big data pipelines processing 20TB/day, developed real-time pricing models, and built AI-powered client portals. Engineered scalable ETL pipelines, optimized data models, and delivered KPI dashboards, achieving significant cost and runtime reductions. Previous roles involved modernizing pipelines, reducing cloud costs, automating processes, and delivering large-scale APIs and CRM platforms.
Holds a Bachelor of Engineering in Computer Science and certifications in Generative AI. Bilingual in English and Japanese.
