Builder

analytics · data · artificial intelligence

Experience

Dec 2024 - Present

Developed an embedded network of AI agents that delivered real-time insights and hiring optimization recommendations, enabling users to enhance their product implementation through conversational AI interactions
Led a complete warehouse and data transformation migration project for internal stakeholders and embedded customers from BigQuery to ClickHouse using a data lake architecture in S3, saving $400,000 in renewal contract costs
Developed new product capabilities in the migration to address customer needs including NRT data availability, 75% faster refreshes, 50% faster embedded queries, and laid the foundation for the next stage of Fountain’s product growth
Internal self-serve data models have experienced 67% increase in adoption rate; moving from reporting tools to strategic decision support to inform the product roadmap, develop new GTM strategies, and enable revenue growth

Mar 2024 - Dec 2024

Led the constant growth and iteration of a large, complex, multi-project data model built in dbt core with ~50K daily materializations that supports all Fountain customers across 8 products, custom reporting, and internal data stakeholder resources including enterprise reporting, revenue operations, marketing, finance, and customer support
Implemented query and model efficiency enhancements to decrease annual BigQuery compute cost by ~$250,000
Serve as a technical lead and thought leader, providing technical guidance, reinforcing best practices, reviewing work, and raising the bar of quality engineering and analysis across the data team and guiding cross-functional stakeholders

Jul 2023 - Mar 2024

Founding member of the Analytics Engineering function and owner of the Analytics Engineering roadmap and results
Implemented dbt in one quarter from end-to-end, including orchestration, transformation, and end-user-facing semantic layer of our data pipelines in LookML, visualized in Looker and embedded in the Fountain Hire product
Led the strategic initiative to redesign our data model and Looker semantic layer using data and engineering best practices, leading to an 86% decrease in Looker load times and 99% decrease in compute time for the same reports
Successfully advocated for and owned the implementation of a modern data stack (dbt / Dagster), significantly enhancing the competitive advantage of our analytics product (~ 14K users) and our capacity for data-driven decisions
Responsible for approving PRs for changes to the transformation layer in dbt and our semantic layers built in LookML

May 2022 - Jul 2023

Own standard and custom reporting and analytics requests for Fountain’s portfolio of strategic enterprise customers
Deployment manager and owner of the internal and customer-facing transformation layers of our data in Looker
Built custom reports and analysis to support sales and increase revenue, including a $50,000 reporting package
Developed an ‘Anatomy Detection’ bot that sends alerts for large KPI changes, attributed with $100,000 in savings
Partnered across teams to build and implement an automated, secure, customer facing, custom report-sharing

Nov 2021 - May 2022

Analytics and reporting owner for the Customer Service, Internal Sales Agency, Claims Support & Carvana Ops Teams
Built robust and stable data and reporting infrastructure from the ground up using SQL pipelines, visualized in Tableau
Designed and developed an internal QA system to replace a software vendor, eliminating a $60,000 annual expense
Provided recommendations to leadership regarding team operations, resulting in a 25% increase in service level
Onboarded, coached, and managed the daily work of the Operations Data Analyst to become an effective contributor

Feb 2021 - Nov 2021

Analytics and reporting owner for a rapidly scaling Internal Sales Agency, accounting for >20% of Root’s 2021 policies
Built automated analytic tools to empower stakeholders that save 20+ hours a week in repetitive analysis tasks

Masters of Science in Analytics

Bachelor of Science in Business Administration

Looker Omni Mode Tableau

Data Modeling Transformation Self-Serve Analytics Metric Trees

ETL Pipeline Development Query Optimization Orchestration CI/CD

Hypothesis Testing A/B Testing Regression Analysis SVMs Decision Trees Time Series Analysis k-means Clustering Anomaly Detection Random Forests NLP

Advanced SQL ClickHouse BigQuery Redshift Snowflake dbt Dagster Python R Jupyter Hex Google Colab Fivetran Git & GitHub

Want to work together or just say hi? The fastest way to reach me is a DM.