Dan is a Data Engineering Consultant at The Information Lab. He uses tools like dbt, Snowflake, Databricks, SQL, and Python to build efficient, lasting pipelines. He's particularly passionate about optimizing and automating data processes. He recently put these skills to use, saving over 100 hours of manual computation monthly for a client.
Prior to working at The Information Lab, he completed a dual bachelor’s degree in Mathematics and Italian at Binghamton University. After deciding to pursue a career in data, he self-studied Python and SQL and then completed a data science bootcamp, where he first heard about The Data School.
His interest in data traces back to his elementary school days, when he read the morning newspaper daily to keep up with baseball stats. Outside of work, he spends his time running, reading, and gaming.