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Scholars Journal of Engineering and Technology | Volume-13 | Issue-12
Integrating Large Language Models into Data Engineering Workflows
Hari Prasad Bomma
Published: Dec. 19, 2025 | 100 69
DOI: https://doi.org/10.36347/sjet.2025.v13i12.005
Pages: 910-914
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Abstract
Large Language Models (LLMs) are transforming data engineering by automating complex tasks, enhancing accessibility, and improving efficiency. This paper explores the integration of LLMs into data engineering workflows, highlighting specific use cases such as ETL automation, query optimization, compliance reporting, and conversational interfaces. Through real world examples and scholarly insights, we demonstrate how LLMs are reshaping the role of data engineers and enabling more intelligent, scalable systems.