
During October 2025, Greg Stanley Tejakusuma developed a unified rewards data model and modernized data ingestion for the FlipsideCrypto/flow-models repository. He consolidated transaction entries from legacy Flow Points and Snag Loyalty APIs into a single rewards table, streamlining analytics and maintenance. Using SQL and Jinja, Greg upgraded the ingestion pipeline to Streamline v2.0, integrating new APIs and updating data models while deprecating outdated TopShot-related scripts. He addressed data integrity by fixing unique key generation and enhanced data source tracking for improved governance. This work established a single source of truth for rewards data, supporting faster, higher-quality analytics workflows.

October 2025 monthly summary for FlipsideCrypto/flow-models highlighting business value and technical achievements. Delivered a unified rewards data model and ingestion modernization, establishing a single source of truth for rewards data and enabling faster analytics, improved data quality, and streamlined maintenance.
October 2025 monthly summary for FlipsideCrypto/flow-models highlighting business value and technical achievements. Delivered a unified rewards data model and ingestion modernization, establishing a single source of truth for rewards data and enabling faster analytics, improved data quality, and streamlined maintenance.
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