Summary
Joaquín Kalmbach is a data analyst with over a decade of professional experience and 5+ years focused on analytics, data warehousing and ETL on Google Cloud Platform. He has implemented scalable BigQuery-based DW/ODS solutions and optimized pipelines using Dataform, Looker Studio, Python and SQL to deliver product metrics and transaction analysis that drive business decisions. His background spans public sector ETL and automation, hands-on teaching of SQL and data science, and recent roles in fast-moving startups, showing both operational rigor and mentorship ability. Currently deepening expertise in data science, AI and multi-agent systems, he combines practical production experience with an academic master's in knowledge discovery to bridge research and applied analytics. An often-overlooked strength is his experience coordinating cross-functional stakeholders in government projects, which sharpens his ability to translate complex data needs into actionable KPIs.
10 years of coding experience
4 years of employment as a software developer
Maestría en Explotación de Datos y Descubrimiento del Conocimiento, Maestría en Explotación de Datos y Descubrimiento del Conocimiento at Universidad de Buenos Aires
Data Scientist, Data Sciense, Data Scientist, Data Sciense at Digital House
Full Stack, Web/Multimedia Management and Webmaster, Full Stack, Web/Multimedia Management and Webmaster at Coderhouse