Design the architecture to send chargeback transactions to Visa.

To design an architecture for sending chargeback transactions to Visa, a robust data pipeline is essential. The process would typically involve:

1. Data Ingestion: Capture real-time transaction data changes from the primary database using Change Data Capture (CDC) mechanisms. This ensures that all relevant transaction events are captured as they occur.
2. Streaming to Kafka: Forward these CDC events to a message queue system like Apache Kafka. Kafka provides a scalable and fault-tolerant buffer, decoupling the data source from downstream processing.
3. Data Storage: Consume messages from Kafka and land them into a durable object storage solution, such as an S3 bucket or Google Cloud Storage. This serves as a staging area for batch processing.
4. Batch Processing and Transmission: Periodically, process the data stored in the bucket to format it into the specific batch file format required by Visa. This batch file is then securely transmitted to Visa through their designated channels (e.g., SFTP, API).