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Data Engineering and Generative AI Agents in Healthcare | Transforming Healthcare with AI | AGPH Books

Data Engineering and Generative AI Agents in Healthcare | Transforming Healthcare with AI | AGPH Books

by Sai Sukesh Reddy Tummuri

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Book Title: Data Engineering and Generative AI Agents in Healthcare | Transforming Healthcare with AI | AGPH Books

Data Engineering and Generative AI Agents in Healthcare explores how healthcare is transforming through big data and artificial intelligence. Today, healthcare systems generate massive datasets from electronic health records, medical imaging, wearable devices, and genomic research. As a result, effective data engineering has become essential for managing and securing this information. Moreover, the book explains how generative AI supports prediction, simulation, and insight generation. Together, data engineering and generative AI are improving patient care, research workflows, and clinical decision-making.

First, the book introduces core concepts in healthcare data management. It explains data pipelines, system integration, and privacy protection in a clear and practical way. Next, it explores generative AI architectures such as GANs, VAEs, transformers, and large language models.

In addition, readers discover real-world applications across personalized medicine, drug discovery, diagnostics, virtual health assistants, and predictive analytics. Furthermore, the book highlights infrastructure topics like cloud computing, interoperability standards, real-time data processing, and performance optimization.

Finally, the book looks ahead to emerging innovations. These include IoT integration, advanced predictive models, and human–AI collaboration in clinical environments. Overall, this book is designed for students, researchers, data scientists, and healthcare professionals seeking smarter and safer healthcare solutions.

About the Author

Sai Sukesh Reddy Tummuri is an experienced Data Engineer with expertise in building scalable data platforms. He has worked with global organizations such as Amazon and Tata Consultancy Services (TCS). Through this work, he has delivered data-driven solutions that improve efficiency, compliance, and analytics. At Amazon, he contributed to fintech data initiatives. He developed automated data pipelines for reporting, reconciliation, and risk analysis. Additionally, he worked extensively with AWS services including Glue, S3, Redshift, Athena, Lake Formation, Step Functions, Lambda, and Airflow.

Previously, at TCS, he focused on automotive data analytics. He used SQL and visualization tools to analyze large datasets related to vehicle performance and sales. As a result, his work supported forecasting, operational planning, and customer insights.

With a Master’s degree in Data Science, Sai Sukesh specializes in cloud data engineering, big data processing, ETL automation, and data governance. Ultimately, he is committed to building reliable systems that support informed decision-making.

About The Publisher:

AGPH Books is a Professional Self Book Publishing House based in Central India, specializing in academic, professional, fiction, and non-fiction books in both print, digital and audio formats. The publishing house produces textbooks, research and reference works, biographies, self-help titles, children’s books, literary fiction, poetry, and general interest publications. With a transparent publishing process and strong digital distribution, AGPH Books ensures global availability through Google Books, Amazon, Flipkart, and its official website store, supporting authors and institutions in reaching a wide and diverse readership.

Product Details

No. Of Pages:237
Publication Date:06-11-2025
ISBN:978-93-89319-47-7

Shipping Details

Weight: 0.40 kg
Length: 22.86 cm
Width: 15.24 cm
Height: 1.60 cm

About the Author

Sai Sukesh Reddy Tummuri
Sai Sukesh Reddy Tummuri

Sai Sukesh Reddy Tummuri is a highly skilled Data Engineer with hands-on experience in designing, developing, and maintaining scalable data infrastructure across fintech and automotive domains. With a professional journey spanning industry leaders such as Amazon and Tata Consultancy Services (TCS), he has delivered data-driven solutions that drive operational efficiency, compliance, and business intelligence. At Amazon, Sai Sukesh has contributed to fintech data initiatives, building robust, automated data pipelines that support financial reporting, reconciliation, and risk analysis. His expertise spans a full spectrum of AWS services, including Glue, S3, Redshift, Athena, Lake Formation, Step Functions, Lambda, and Airflow, which he has used to orchestrate end-to-end data workflows, enforce governance, and ensure high performance at scale. During his time at TCS, he focused on automotive data analytics, leveraging SQL and visualization tools to extract insights from large-scale vehicle performance and sales datasets. His contributions supported trend forecasting, operational planning, and customer insights across global business units. Sai Sukesh’s core competencies include: • Cloud Data Engineering: End-to-end data pipeline development using cloud-native architectures • Big Data Processing: PySpark, AWS Glue, EMR, and large-scale distributed data handling • ETL Development & Automation: Workflow orchestration using Airflow, Step Functions, and Lambda • Data Warehousing & Modeling: Redshift, Snowflake, schema design, partitioning, and performance tuning • Programming & Query Languages: Python, SQL, PySpark • Analytics & Visualization: Tableau, AWS QuickSight, Excel dashboards • Data Governance & Quality: Data validation frameworks, audit logging, lineage tracking With a Master’s in Data Science and a strong foundation in data architecture, automation, and stakeholder engagement, Sai Sukesh is committed to building reliable, scalable systems that empower organizations to make data-informed decisions.

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Data Engineering and Generative AI Agents in Healthcare