Diego Gonzalez

Diego Gonzalez

Supervisor Data Operations @ Technical Standards & Safety Authority

About Diego Gonzalez

Diego Gonzalez is a Supervisor of Data Operations with extensive experience in business intelligence and data engineering across various cloud platforms. He has held several roles in the field, focusing on enhancing data analytics capabilities and mentoring team members.

Current Role at Technical Standards & Safety Authority

Diego Gonzalez currently serves as Supervisor of Data Operations at the Technical Standards & Safety Authority (TSSA). He has held this position since 2023, working in a hybrid environment. In this role, he leads a BI/Data Engineering team, focusing on delivering key strategic initiatives. His responsibilities include acting as a technical lead and business liaison, as well as mentoring team members.

Previous Experience in Data Engineering and Business Intelligence

Diego Gonzalez has extensive experience in data engineering and business intelligence. Prior to his current role, he worked as a Data Engineer at TSSA from 2021 to 2023. He also held positions at CGI as a Data Engineer from 2018 to 2021, and at Aeroman as a Business Intelligence Engineer from 2012 to 2015. Additionally, he worked as a Business Intelligence Architect at Almacenes SIMAN in 2015 and as an ETL Developer at Creativa Consultores from 2008 to 2012.

Education and Professional Development

Diego Gonzalez has a strong educational background in technology and analytics. He studied Computer Systems Engineering at Universidad de El Salvador, earning his degree in 2009. He furthered his education with a Postgraduate IT Business Analysis at George Brown College in 2018. Additionally, he completed a Certificate in Big Data Analytics at York University from 2020 to 2021.

Expertise in Cloud Platforms and Data Architecture

Diego Gonzalez possesses expertise in various cloud platforms, including Google Cloud Platform (GCP), Microsoft Azure, Amazon Web Services (AWS), Snowflake, and Databricks. His work focuses on improving existing Data Lake and Data Warehouse architecture to enhance data analytics capabilities within his organization. He has been involved in enabling self-serve business intelligence and machine learning projects.

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