Vicky Kwan is a Senior Data Engineer with 11 years of experience building robust data platforms and finance-focused pipelines in the San Francisco Bay Area. She has led platform transformations—introducing IaC, dbt workflows, and Snowflake-AWS integrations—that scaled self-service analytics and cut costs across organizations like Anaconda, Mapbox, and Iterable. Vicky combines a math-driven, algorithmic mindset with practical operational skills, having automated lineage, metadata, and query-auditing tools that sped compliance and reduced manual work from minutes to seconds. She’s equally comfortable mentoring teams and designing event-driven, serverless architectures for billing and real-time ingestion. Outside of engineering, her background in teaching mathematics informs a data-first approach to problem decomposition and readable, auditable systems.
11 years of coding experience
8 years of employment as a software developer
Master's Degree Mathematics, Master's Degree Mathematics at San Francisco State University
Certificate Business Analytics, Certificate Business Analytics at University of California, Berkeley
Bachelor's degree Mathematics, Bachelor's degree Mathematics at East China Normal University
Data Science Immersive, Data Science Immersive at Galvanize - San Francisco, SoMa
A SQL parser and analyzer for sql flavors including MySQL, PostgreSQL, BigQuery Standard SQL, Presto SQL and Hive SQL.
Contributions:1 commit, 150 pushes, 1 branch in 1 day
athenabigqueryhiveqlmetastorepresto
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