Summary
Austin Gibbons is a software engineer with 13 years of experience who specializes in data engineering and building scalable analytics platforms for fast-growing companies. He’s led data infrastructure and teams at Plaid, Stytch, and Slack, shipping systems across Redshift, Snowflake, DBT, S3, Kafka/Kinesis, Airflow, and Spark while also tackling observability, governance, and performance debugging. Comfortable wearing many hats, he’s played technical lead, PM, SRE, and analytics roles to align product, ops, and security around data-driven decisions. Notably, he’s published deep-dive performance work on Redshift and SQL optimization, reflecting a penchant for root-cause analysis and measurable pipeline speedups. Based in Denver, he now builds fintech experiences at Folio, bringing both hands-on engineering and cross-functional leadership to complex data problems.
13 years of coding experience
14 years of employment as a software developer
BS Computer Science, BS Computer Science at University of Illinois Urbana-Champaign
Master's Computer Science, Master's Computer Science at Stanford University