Part 10/11:
In summary, AI-driven automation is dramatically transforming data engineering—from pipeline automation and governance to low-code/no-code tools democratizing data access. Nevertheless, certain areas—policy, ethics, complex architecture, and nuanced decision-making—remain firmly in the human domain.
The future of data engineering hinges on a collaborative paradigm where AI enhances human capabilities, automates mundane tasks, and allows data professionals to focus on strategic, high-value work. As the landscape matures, organizations that balance automation with responsible oversight and domain expertise will be best positioned to thrive in the evolving data-driven world.