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AI transforms data engineering: intent-driven, agentic pipelines build better systems.
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Redefining Data Engineering with AI

Agentic Engineering Your Way to Data Democracy

$118.60

  • Paperback

    250 pages

  • Release Date

    28 February 2027

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Summary

While much of data engineering still means writing repetitive code, stitching together orchestration tools, and manually validating systems, the emergence of AI-assisted development is fast transforming this work. Redefining Data Engineering with AI introduces the concept of agentic engineering, a structured approach in which engineers express intent in natural language, and AI generates pipelines, documentation, test suites, and monitoring. Engineers remain in control, focusing on big-pictur…

Book Details

ISBN-13:9798341672840
Author:Ashok Singamaneni, Sarath Chandra Bandaru, Phani Vemuri, Aditya Chaturvedi
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:250
Release Date:28 February 2027
Dimensions:178mm x 232mm
A-Format
B-Format
Redefining Data Engineering with AI by Ashok Singamaneni - ISBN: 9798341672840
178 × 232 mm
C-Format
A4
mm / in
About The Author

Ashok Singamaneni

Ashok Singamaneni is a Principal Software Engineer at Nike and an expert in applying LLMs and generative AI to real-world data problems at scale. A core contributor to developing agent-driven automation frameworks, he combines deep technical acumen with a passion for transforming engineering workflows through AI-first thinking.

Sarath Chandra Bandaru is a Principal Software Engineer at Nike, where he architects large-scale data platforms and leads AI-driven automation initiatives. With deep experience in enterprise-grade data systems and a focus on reducing operational complexity through intelligent pipelines, Sarath brings hands-on expertise in integrating LLMs into production data workflows.

Phani Vemuri is a Senior Engineer at Airbnb and former Staff Engineer at Wayfair, with a strong background in data infrastructure, observability, and platform governance. He has designed and scaled distributed data systems that blend human judgment with machine automation, making him a key voice in human-in-the-loop AI practices for engineering.

Aditya Chaturvedi is a Distinguished Engineer at Nike specializing in AI-augmented data platforms and DevOps workflows. A pioneer in driving engineering culture toward automation, Aditya leads cross-functional efforts that blend traditional data engineering, cloud infrastructure, and intelligent tooling to accelerate data product delivery.

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