David Wolf is a Senior Data Engineering Architect based in New York with 11 years focused on data architecture, cloud data warehouses, and large-scale ETL systems. He has led migrations and built custom replication and cloud integrations at 2U, combining Python, Snowflake, Redshift, Kubernetes, Airflow, and extensive AWS expertise to centralize analytics. Previously he directed BI adoption and cloud data warehousing at Kaplan and ran technology teams through complex transitions at Core Education and The Princeton Review, demonstrating both hands-on engineering and people management. Known for pragmatic solutions that balance custom tooling with managed services, he often bridges gaps between legacy systems and modern cloud-native pipelines. His background in CS (BS/MS, Columbia) and long tenure across e-commerce, education, and telecom give him a rare depth in operationalizing data at scale.
11 years of coding experience
19 years of employment as a software developer
Ames High School
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Columbia University in the City of New York
MS, Computer Science, MS, Computer Science at Columbia Engineering
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