Arilton Japf developed HubSpot Custom Objects Support and Discovery for the hotgluexyz/tap-hubspot-beta repository, expanding the tap’s data extraction capabilities to handle user-defined objects. He engineered a dynamic stream generation mechanism that adapts to discovered custom object schemas and properties, leveraging Python, API integration, and the Singer ETL framework. By introducing a dedicated discovery stream, Arilton enabled the tap to enumerate and extract data from custom HubSpot objects, improving adaptability to diverse customer schemas. He validated the feature with targeted testing to ensure backward compatibility and production reliability, demonstrating depth in data engineering and extensibility within the ETL pipeline.