GenAI Speeds Up Data Engineering but Cannot Replace Human Judgment, Engineer Says

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Yash Agarwal, a Data Engineer at Amdocs in Pune, India, argues that generative AI augments rather than replaces data engineers, drawing on his real-world production experience. He worked on migrating over 1,000 database tables containing 45 billion-plus records from on-premises Teradata systems to Snowflake on the cloud for a Fortune 50 telecom client. In a more recent project, AI handled modular coding tasks while his team focused on orchestration, system design, and scaling the overall workflow. Agarwal contends that generating code represents only 80% of the work, with the harder 20% involving system resilience, failure handling, and long-term maintainability — areas where human judgment remains essential. His conclusion is that AI amplifies engineers who already understand what good architecture looks like, rather than manufacturing that expertise independently.

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