Summary
Daniel Markham is a pragmatic data engineer with 11 years of experience building and optimizing production data platforms, currently driving Data Engineering at Vector after leading architecture and real-time pipeline transformations at Butter Payments. He specializes in event-driven ETL, Snowflake/DBT orchestration, Kafka streaming, and Airflow modernization, with a track record of cutting costs, improving performance, and hardening PII handling for SOC compliance. Daniel blends hands-on programming and architecture with team leadership and mentoring, having guided cross-functional teams through CI/CD, Terraform migrations, and observability improvements. His background in public administration and nonprofit management, plus a 4.0 M.S. in Data Science, gives him a rare mix of technical depth and operational empathy for stakeholders. Notably, he has repeatedly turned legacy, brittle systems into resilient, managed services that save time and money while reducing security exposure.
10 years of coding experience
9 years of employment as a software developer
High School Advanced Regents Diploma, High School Advanced Regents Diploma at Windsor Central High School
Masters in Public Administration Public Administration, Masters in Public Administration Public Administration at Binghamton University
Master of Science (M.S.) Data Science, Master of Science (M.S.) Data Science at University of Wisconsin-Eau Claire
B.A. History minor in Political Science, B.A. History minor in Political Science at Ithaca College
English, French