Let me clarify this with an example from my experience. In my previous role at TCS, I worked on a healthcare analytics project where we needed to integrate real-time formulary updates from external partners. We set up webhook endpoints in our backend using .NET Core to receive data pushes whenever there were changes in the external data sources. For error handling, we implemented validation checks for incoming payloads to ensure the data structure was correct and responded with appropriate error codes like 400 for bad requests or 422 for unprocessable entities. If there was a temporary issue, such as a database connection failure or a network timeout, we logged the error and used a retry mechanism with exponential backoff to reprocess the failed requests. Additionally, we maintained idempotency by tracking unique event IDs, so duplicate webhook calls would not result in inconsistent data. This approach helped us ensure reliable and timely data integration, even in the face of transient errors.