Angelo Palacios
About Angelo Palacios
Angelo Palacios is an ETL Developer with extensive experience in data integration and migration, currently employed at Next Pathway Inc. in Toronto, Canada. He has previously worked at UST Global, Pointwest, and Teradata, and holds degrees in Electronics Engineering and Data Science.
Work at Next Pathway Inc.
Angelo Palacios has been employed at Next Pathway Inc. as an ETL Developer since 2019. In this role, he is responsible for designing and implementing data extraction, transformation, and loading processes. His work focuses on optimizing data workflows and ensuring efficient data integration within the organization. He has contributed to various projects that enhance data management capabilities.
Previous Experience in ETL Development
Prior to his current position, Angelo worked at Teradata as a Data Integration Consultant from 2012 to 2016. He gained significant experience in data integration and ETL processes during this four-year tenure. He also briefly worked as an ETL Developer at Pointwest in 2016 for four months, where he further developed his skills in data management. Earlier in his career, he served as an Associate Software Engineer at UST Global for seven months in 2012.
Education and Expertise
Angelo Palacios studied at the Technological University of the Philippines, where he earned a Bachelor's degree in Electronics Engineering from 2006 to 2011. He later pursued further education at Metro College of Technology, achieving an Advanced Data Science and Analytics Diploma in Data Modeling/Warehousing and Database Administration from 2018 to 2019. This educational background supports his expertise in data analytics and ETL processes.
Key Projects and Contributions
Angelo played a significant role in migrating a legacy Teradata system to a cloud-based Enterprise Data Warehouse using SNOWFLAKE. He utilized JIRA for tracking issues and progress during the migration project and reported to the Scrum team. His experience includes executing and testing migrated code to ensure data accuracy and integrity, which is crucial for successful data management.