Daniel Wilde is a Data Engineer at Dexcom with nearly 20 years of experience in databases, SQL, ETL/ELT pipelines, and large-scale data wrangling. He helps modernize data infrastructure to support high-throughput, high-reliability analytics in a complex manufacturing environment. His specialties include scalable data architecture and ELT workflow design, aiming to make enterprise data systems more performant, maintainable, and business-ready. Outside of work, he is a father of three who enjoys family time, Padres games, exploring great restaurants, and researching and investing in individual stocks.