Daniel Burton is an experienced analytics engineer currently working at Slate Magazine, where responsibilities include developing and enhancing ETL workflows with various technologies such as Redshift, S3, BigQuery, and proprietary APIs. Prior experience includes roles as a data engineer for NYC Health + Hospitals, where Daniel built ETL pipelines and led a team, and as a data analyst for NYC Census 2020, focusing on interactive web applications and automated GIS workflows. Daniel has also held positions at the NYC Department of City Planning as a demographic analyst and in various research roles, including a research assistantship developing a food security assessment. Daniel holds a Master of City and Regional Planning from Rutgers University and a Bachelor of Arts in Anthropology from Washington University in St. Louis.
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