
Developed a new Zendesk side conversations streaming capability for the estuary/connectors repository, focusing on reliable data retrieval and processing for customer support analytics. Leveraged Python to implement a cursor-based incremental export, ensuring data integrity and preventing missed events during periods of high ticket volume. Updated the data model to support string IDs for side conversations, laying the groundwork for future deduplication and improved code reuse across streams. Collaborated on design documentation to promote maintainability and clear team communication. Applied skills in API development, asynchronous programming, and data streaming to enhance downstream analytics and customer-service workflows with greater context fidelity.
2026-05 monthly summary for estuary/connectors. Delivered a new Zendesk side conversations streaming capability with a cursor-based incremental export to preserve data integrity and prevent missing events. Updated the data model to support string IDs for side conversations, enabling future deduplication and easier code reuse across streams. This work increases ticket context fidelity for downstream analytics and customer-service workflows, improving reliability and business value.
2026-05 monthly summary for estuary/connectors. Delivered a new Zendesk side conversations streaming capability with a cursor-based incremental export to preserve data integrity and prevent missing events. Updated the data model to support string IDs for side conversations, enabling future deduplication and easier code reuse across streams. This work increases ticket context fidelity for downstream analytics and customer-service workflows, improving reliability and business value.

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