
Worked on the opendexcom/formul.ai repository to implement PostgreSQL-backed persistence and schema organization for the Survey Service, focusing on robust data storage and maintainable database structure. Leveraged Java, SQL, and YAML to configure Docker Compose environments and environment variables, enabling seamless database connectivity and deployment readiness. Introduced a dedicated 'survey' schema and updated the Task model to formalize schema boundaries, supporting future analytics and scalable data lifecycle management. The work emphasized backend development, configuration management, and schema design, reducing setup friction for new environments and laying a solid foundation for reliability and maintainability in the service’s data infrastructure.
May 2025: Implemented PostgreSQL-backed persistence and schema organization for the Survey Service in opendexcom/formul.ai, delivering robust data storage, maintainable database structure, and deployment-ready configuration. These changes establish a solid foundation for analytics, reliability, and scalable data lifecycle management.
May 2025: Implemented PostgreSQL-backed persistence and schema organization for the Survey Service in opendexcom/formul.ai, delivering robust data storage, maintainable database structure, and deployment-ready configuration. These changes establish a solid foundation for analytics, reliability, and scalable data lifecycle management.

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