Cristian Canelo

Senior Business Intelligence Engineer at Agrofy

Cristian Canelo has a diverse work experience in the field of Business Intelligence and Data Analytics. Cristian began their career at everis in 2011, where they worked as a Consultant DatawareHouse/Business Intelligence and Programador Oracle PL/SQL. Cristian provided functional analysis for the Datawarehouse and BI systems for CLARO S.A. In 2013, they joined PowerData Iberica Argentina S.A. as a Consultant Business Intelligence and Analyst Programmer PLSQL, where they worked with clients such as BBVA FRANCES and CERVECERIA Y MALTERIA QUILMES S.A. Cristian then joined Data IQ - Qlik Elite Master Reseller in 2014 as a Business Intelligence Consultant, working with clients such as PROVINCIA NET, EQUIFAX, GRUPO DANONE, PETROBRAS, and GRUPO NEWSAN. Cristian was responsible for requirements analysis, system integration, and data visualization using QlikView. From 2016 to 2021, Cristian worked at Close Up International as a Senior Business Intelligence Developer. Cristian was involved in analysis, design, and execution of reports and dashboards, as well as programming in Qlik Sense and PLSQL (ORACLE). In 2021, they joined COREBI Data & Analytics as a Senior Business Intelligence Engineer, where they developed BI solutions using QlikSense and designed interactive dashboards. Currently, Cristian is working at Agrofy as a Senior Business Intelligence Engineer. Cristian'sresponsibilities include designing and configuring cloud infrastructure using AWS services, developing data pipelines, and setting up monitoring systems using Amazon CloudWatch.

Cristian Canelo attended Universidad Tecnológica Nacional from 1996 to 2003, where they obtained a degree in "Analista Universitario de Sistemas." Cristian continued their education at the same university from 1996 to 2004, earning a degree in "Ingeniero en Sistemas de Información." In 2012, Cristian Canelo also completed a course at the Universidad Tecnológica Nacional focused on "Business Intelligence e Introducción a Data Mining."

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