Beyond Basic ETL: Enterprise Data Capabilities Without the Complexity

Most data teams spend 80% of their time wrestling with infrastructure—writing custom UPSERT logic, building incremental loading from scratch, or debugging why their Airflow DAGs failed again at 2 AM. Meanwhile, the business is still waiting for those critical data insights. This article is a follow-up to Part 1 , where we explored declarative data stacks. Here, we dive into the specific…