Data Engineer specializing in analytics infrastructure and data quality frameworks.
I build scalable data pipelines and translate complex technical insights into business impact.
I'm a Data Engineer at Wayward (formerly Hyphensocial) in San Francisco, where I design and maintain dimensional data models in BigQuery to support cross-functional analytics on affiliate marketing performance and campaign ROI.
My background in accounting and client management gives me a unique perspective on data engineering. I focus on the "why" behind every technical decision and approach each business problem with intentionality. I've delivered high-impact analytics initiatives including automation that generated $1M+ in incremental revenue and budget optimization frameworks that improved margins by 7%.
I specialize in building scalable ELT pipelines, implementing comprehensive data quality frameworks, and translating complex technical analyses into actionable business strategies. My experience working across account management, sales, and data roles allows me to bridge the gap between technical implementation and business value.
I work across the full data engineering stack, from pipeline development to analytics infrastructure and visualization.
Design and optimize ELT pipelines in Python and BigQuery. Build dimensional data models and maintain data infrastructure on Google Cloud Platform.
Implement comprehensive testing frameworks with automated validation checks and monitoring alerts. Achieved 99%+ data accuracy across critical business metrics.
Develop modular SQL and dbt-style transformations for staging, intermediate, and mart layers. Establish consistent data modeling standards.
Build dashboards and reporting infrastructure in Looker and Tableau. Enable self-service analytics across stakeholder teams.
Work with Google Cloud Platform, BigQuery, Bigtable, Dataform, and Terraform to build scalable data solutions.
Translate complex technical analyses into actionable strategies. Partner with Analytics and Product teams to define and deliver on business KPIs.
Impact: 3x revenue lift, $1M+ incremental revenue
Automated campaign matching and optimization for Amazon's affiliate creator program. Built scalable data pipelines to process creator performance metrics and match optimal product campaigns, resulting in significant revenue growth.
Impact: 7% margin improvement
Developed analytical framework to optimize campaign budget allocation across affiliate marketing channels. Translated complex technical analyses into actionable business strategies for stakeholder teams.
Impact: 99%+ data accuracy
Implemented comprehensive data quality frameworks with automated unit tests, validation checks, and monitoring alerts at daily and hourly intervals across critical business metrics and ETL layers.
Impact: 40% runtime reduction
Optimized high-volume campaign reporting pipelines in Python and BigQuery for performance and maintainability, significantly reducing processing time for business-critical reports.
I'm always interested in hearing about new opportunities, collaborations, or just connecting with fellow data professionals. Feel free to reach out via email or LinkedIn.