William Waite Email & Phone Number

Washington, Dc, Us

Seattle, Wa, Us

- Led a team of engineers in the development of a new Spark-based ETL system, reducing total ETL time from 9 to 4 hours and enabling the team to increase ETL runtimes from once per day to multiple times per day, providing more real-time access to critical data- Implemented decentralized compute self-service analytics studio which reduced time to onboard for analysts from 14 days to 1 day- Directed the implementation of test-driven development, reducing customer impacting bugs by 34%- Designed data lake architecture using entity relationship diagram which reduced data retrieval time by 26% on average- Implemented agile development which improved ticket completion rate by 14 days and added predictability to developer output- Developed data integration strategy using Lake Formation to combine internal data with data from 3rd party APIs infrastructure

Seattle, Wa, Us

• Scaled up the data team's productivity by improving tooling for development and analysis, standardizing Python dependency management, and rewriting our onboarding and install documentation• Overhauled our data platform security and data protection, including partnering with our core security teams to implement SSO for our systems and institute least-privileged AWS IAM policies and roles• Migrated AWS data infrastructure and ETL workloads from a single shared account to a secure, production-grade multi-account framework managed with infrastructure as code

Santa Monica, California, Us

- Architected and built data lakehouse schema on top of diverse big data sources, leveraging Airflow for ETL processing which resulted in a 41% reduction in insights generation time for the organization- Proactively worked with business and gameplay leaders to define hypotheses and prioritize analyses focused on player retention- Collaborated on the successful migration of data from Redshift to a Data Lake exposed through Databricks, resulting in a 92% improvement in computation bottlenecks between engineers- Spearheaded redesign of large-scale 180M player machine learning model, resulting in a 34% reduction in processing time while reducing the feature complexity to improve the comprehension for business leaders

New York, New York, Us

- Designed ETL pipelines in support of revenue and product usage reporting which improved data delivery time from ~7 days to 1 day- Drove the organization-wide implementation of automated reporting in Tableau, reducing manual reporting by ~40 hours per month- Transitioned organization’s analysis process from Excel to Python. This enabled test-driven analysis and a 25% reduction in error rate- Introduced usage of statistical modeling to increase revenue realization forecasting accuracy by ~19% over traditional FP&A methods- Lead cross-function initiative to increase data-driven decision making coverage across the organization

Bethesda, Maryland, Us

Bethesda, Maryland, Us

Bethesda, Maryland, Us

Beltsville, Md, Us

San Francisco, Ca, Us

I interned with Yelp part time while working full time at Vocus. I was mainly focused on community development, event planning, and marketing. Community tracking and analysis were key components of all of these tasks.

Master Of Science - Ms, Computational Analytics

Bachelor Of Science (Bs)