Gabriela Macias
About Gabriela Macias
Gabriela Macias is a Data Engineer with over 20 years of experience in software development and data management. She has held various roles in notable companies, including Ingredion Incorporated and DXC Technology, and is currently employed at Health Catalyst.
Current Role at Health Catalyst
Gabriela Macias has been employed at Health Catalyst as a Data Engineer since 2019. In this role, she focuses on delivering strong, robust, and high-quality data solutions. Her expertise in data engineering contributes to the company's mission of improving healthcare outcomes through data-driven insights.
Previous Experience in Data and Business Analysis
Prior to her current position, Gabriela worked at DXC Technology as an SME Lead and SME Business Analyst from 2017 to 2019. She also served as a Business Analyst and BW Analyst at Ingredion Incorporated from 2005 to 2012. Her roles involved significant contributions to Business Intelligence and Data Warehouse projects, showcasing her extensive experience in data management.
Software Development Background
Gabriela's career began in software development, with her first role as a Software Developer at Compucaja.net from 1997 to 1999. She continued to develop her skills at Parnet from 1999 to 2001 and later at Flex as an IT Analyst from 2002 to 2005. This foundation in software development has been integral to her subsequent roles in data engineering and analysis.
Education and Qualifications
Gabriela Macias earned her degree in Computer Systems Engineering from Universidad Autónoma de Guadalajara, where she studied from 1994 to 1998. This educational background has provided her with the technical knowledge necessary for her career in data engineering and analysis.
Expertise in SQL and Financial Planning
With over 18 years of experience in SQL development, Gabriela specializes in ETL processes. She also has nine years of experience working with Financial Planning solutions, which reflects her ability to integrate data management with financial analysis.