• Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks • Building an organic entity resolution framework capable of correctly merging hundreds of billions of individual entities into a number of clean, consumable datasets. • Developing CI/CD pipelines and anomaly detection systems capable of continuously improving the quality of data we're pushing into production. • Dreaming up solutions to largely undefined data engineering and data science problems.