The AI-Augmented Data Engineer: How LLMs and Copilots are Redefining the Engineering Workflow
DOI:
https://doi.org/10.63282/3050-9246/ICRTCSIT-116Keywords:
Artificial Intelligence, Data Engineering, Large Language Models, Copilot, Automation, ProductivityAbstract
This paper examines how Large Language Models (LLMs) and AI copilots such as GitHub Copilot and ChatGPT are transforming the role of the modern data engineer. By automating routine tasks like code generation, debugging, documentation, and query optimization, these tools allow engineers to focus on higher-level architectural decisions, innovation, and collaboration. The paper explores current impacts, potential risks, and future opportunities of adopting Aico pilots within enterprise data engineering workflows, supported by research insights, productivity studies, and real-world use cases
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