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Santiago Bergman has experience working as a Data Engineer Ssr. at Andreani Grupo Logístico, where Santiago creates ETLs in Python to extract, transform, and load data from various sources to Datalake, URLs using GET and POST methods, and other databases. Santiago also utilizes tools like Databricks and SQL queries for data exploration and manipulation in distributed and scalable environments. Prior to their current role, Santiago worked as a Pasante TI - Data Scientist and in various administrative roles at Laboratorio Lazar - Argentina. Santiago is currently pursuing a degree in Actuarial Administration at the University of Buenos Aires, after completing their high school education in Bachiller Ciencias Sociales y Letras at Colegio Nacional de San Isidro.