Arthur Wang is a Principal Data Engineer with a decade of experience building production-grade analytics and AI platforms, currently leading the development of Babylist’s AI-native data stack from Portland, OR. He blends a design-first, technology-agnostic approach with hands-on implementation—shipping agent-driven tooling, Snowflake/dbt integrations, and self-service analytics that accelerate cross-functional teams. His background spans cloud architecture (Azure, AWS), Databricks/Spark, and end-to-end ML pipelines, with a pragmatic focus on security, CI/CD, and cost-effective operations. Arthur’s consulting experience across industries sharpens his ability to find the “why” behind data work, while his Peace Corps teaching and internship program leadership reveal a strong emphasis on mentorship and knowledge transfer. Notably, he has built agentic engineering pipelines and Snowflake-centered developer tooling that turn dbt metadata into semantic views and conversational data assistants.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Political Science, Anthropology, Environmental Studies, Bachelor of Arts - BA, Political Science, Anthropology, Environmental Studies at University of Michigan
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Georgia Institute of Technology
Contributions:1 push, 1 branch in 5 years 11 months
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