What are the best practices for designing a scalable data pipeline architecture? or How do you handle

Scalability starts with *schema design*. If your data model’s a mess, no pipeline will save you.

Also, *backpressure handling* is a must. Tools like Apache Pulsar or even RabbitMQ can help when consumers can’t keep up.

Pro tip: Test failure modes *before* production. What happens if a node dies?