Francis Salvador
About Francis Salvador
Francis Salvador is a Data Engineer with extensive experience in ETL development and automation projects. He has worked for several companies, including Teradata and Willis Towers Watson, and currently serves at RingCentral since 2021.
Work at RingCentral
Francis Salvador has been employed at RingCentral as a Data Engineer since 2021. In this role, he is involved in various data engineering tasks, contributing to the company's data management and analytics capabilities. His work includes leading automation projects and utilizing his expertise in technologies such as Python and MS-SQL.
Previous Experience at Teradata
Francis Salvador has extensive experience at Teradata, where he held multiple roles from 2012 to 2018. He worked as a TRM Consultant/ETL Developer, Metadata Developer, Lead ETL Developer, and Teradata CIM Application Consultant. His responsibilities included ETL development, managed services, and serving as a subject matter expert. His tenure at Teradata spanned various locations, including Kuala Lumpur and Pune.
Experience at Willis Towers Watson
Francis Salvador worked at Willis Towers Watson as a Software Engineer from 2018 to 2021. During this period, he contributed to software development projects, leveraging his technical skills to enhance the company's software solutions and services.
Education and Expertise
Francis Salvador earned a Bachelor of Science degree in Computer Engineering from De La Salle University, where he studied from 2002 to 2009. He completed his high school education at La Salle Greenhills, obtaining his diploma from 1998 to 2002. His educational background supports his expertise in data engineering and software development.
Technical Skills and Projects
Francis Salvador leads automation projects utilizing VBA Macro and Full Stack Development with Python and MS-SQL. He is also part of the Business Intelligence Team, focusing on ETL development and report creation using Power BI. His technical skills enable him to contribute effectively to data-driven projects and initiatives.