Current manager of Identity & Attribution; previously led Customer & Client Data and Auth

• Migrated from a fragile, homegrown JWT system to Auth0, enabling SSO, MFA, and faster client onboarding. Used a SEV-1 to align 80+ engineers across all teams on modern architecture, reducing incidents and saving ~$2M/year in engineering capacity
• Integrated Experian data into Rokt's session pipeline (~6K RPS), boosting data quality and ML precision. Contributed to a broader ~6% YoY lift in value per transaction.
• Stabilized Identity & Attribution by standardizing on-call, introducing DRIs and swimlanes, and aligning with VP-level stakeholders. Reduced on-call pages by 90% (50+ → ~5/week)
• Oversaw monthly infrastructure costs cut by 30% (~$150K-$300K) by reducing experimental Redis/Elasticache footprint
• Strengthened privacy posture by removing device identifiers and initiating identity graph integration with mParticle

Engineering Productivity (EngProd) in Google Cloud Platform

• Conceived and built a Go load testing tool to trigger three-day-long mass creation events of 50M encryption keys for regular system capacity verification that helped unblock a Google Cloud deal valued at $1.1B
• Instituted an integration testing suite that decreased load test complexity by 90% per project by reducing the required number of files from 40+ to four and the average code line count from 4324 to 430
• Co-orchestrated a 253-team pilot of a code quality framework to enforce best-practice metrics that led to adoption across all 3000+ teams in Google Cloud

• Architected a multi-tier data lake using AWS S3, Glue, Athena/Presto, and Terraform that trimmed data scientists' toil for machine learning model development from over a week to under 10 minutes
• Initiated a serverless ETL pipeline using AWS Glue, Spark, and Delta Lake that lowered data latency from four days of manual work to 30 minutes and associated monthly cloud costs from over $20,000 to $3,000

• Spearheaded production efforts for a new microservice-based credit review product that complied with complex internal quality standards and enabled production deployments of changes within 20 minutes
• Engineered a data-detection application with Spark to replace an underperforming vendor product that increased daily throughput from 1.5 TB to 30 TB while decreasing the average cost per TB from $532 to $2.88
• Redesigned AWS infrastructure for a critical data-scanning stack that implemented automatic scaling and cut disaster recovery time and point objectives from three hours to under 30 seconds

• Evaluated and incorporated automated testing frameworks using Mocha, Chai, Grunt, and Selenium that transitioned the software engineering team to test-driven development with over 95 percent code coverage

• Developed a full-stack Spring Boot application with Angular to manage thousands of known security vulnerabilities

Barker, Calvin; Anderson, Andrew; Nuckols, William; Capital One Financial Corp. 2020. U.S. Patent No. 11375833, granted 2022-07-05.