Worked on the lowtouch-ai/agent_dags repository to deliver apparel sizing data modeling and seed data, focusing on standardizing sizing information for improved analytics readiness. Leveraged dbt and YAML to update the dbt_project.yml configuration, specifically converting the dateofbirth field to a timestamp to enhance temporal analytics and data integrity. Created a new seed dataset named 'sizes' with explicitly defined column types, ensuring consistent and structured apparel sizing data for downstream analytics and dashboards. The work emphasized data engineering best practices, prioritizing data quality and governance, and resulted in a more reliable foundation for analytics within the apparel domain.