The Data Engineer’s Playbook: How to Design Scalable ETL Pipelines with Apache Spark and Kafka
If your ETL jobs buckle every time traffic spikes, or your dashboards lag behind reality, you’re not alone. Data teams everywhere are upgrading brittle batch jobs into resilient, streaming-first pipelines that scale on demand. The trick isn’t magic—it’s great architecture, a few battle-tested patterns, and the right tools in the right places. In this playbook,…