• support the building and maintaining of data pipelines, transformations, staging processes, and star-schema data models. • support ELT/ETL processes in Snowflake, SQL Server, and related tools to ensure timely and accurate data availability. • monitor data workflows and assist with troubleshooting and resolving pipeline or data issues. • assist with automating data ingestion from institutional systems including ERP, CRM, LMS, and other sources. • develop and maintain data tables, views, and transformations that support analytics and reporting needs. • assist in building and maintaining data marts and reusable datasets following established modeling standards. • identify and help resolve data integrity issues across integrated systems (ERP, CRM, and LMS platforms). • perform data validation and quality checks to ensure accuracy and consistency. • maintain documentation for data pipelines, transformations, and processes as directed. • collaborate with the Data & Analytics team to support data needs across the University. • participate in cross-functional projects requiring data integration or data preparation. • learn and apply best practices related to SQL development, data modeling, and data warehouse operations. • contribute to continuous improvement efforts within the Data & Analytics team.