Authoring & Reviewing Opportunities

Sharing Knowledge Through Words & Voice

At the core of meaningful impact lies the ability to share what we learn. Over the years, I’ve had the privilege of contributing to the data and AI community through published works, technical reviews, and public speaking engagements. From co-authoring and reviewing books in cloud technologies and AI ethics, to delivering webinars and talks on platforms like Google Cloud and Snowflake, each opportunity has been a way to give back, grow, and connect.

These contributions reflect not just technical depth, but a commitment to making advanced concepts accessible and actionable — especially for diverse and emerging talent in tech. I invite you to explore the highlights below, and join the ongoing dialogue around ethical, scalable, and inclusive innovation.

Mastering Snowflake Platform

Mastering Snowflake Platform: Generate, fetch, and automate Snowflake data as a skilled data practitioner

Description
Handling ever evolving data for business needs can get complex. Traditional methods create bulky and costly-to-maintain data systems. Here, Snowflake emerges as a cost-effective solution, catering to both traditional and modern data needs with zero or minimal maintenance costs.

This book helps you grasp Snowflake, guiding you to create complete solutions from start to finish. The starting focus covers Snowflake architecture, key features, native loading and unloading capabilities, ANSI SQL support, and processing of diverse data types and objects. The next part utilizes acquired knowledge to look into implementing data security, governance, and collaborations, utilizing Snowflake’s features like data sharing and cloning.

The final part explores advanced topics, including streams, tasks, performance optimizations, cost efficiencies, and operationalization with automated monitoring. Real-time use cases and reference architectures are provided to assist readers in implementing data warehouse, data lake, and data mesh solutions with Snowflake.

What you will learn
● Introduction to Snowflake and its three-layered architecture.
● Understand Snowflake’s native features.
● Understand the different types of data workloads and their architecture designs.
● Implement query and cost performance optimization using Snowflake native services.
● Introduction to Snowflake’s advanced features like dynamic and event tables.
● Snowflake’s capabilities with extended support to implement large language models.

Who this book is for
This book is for data practitioners, data engineers, data architects, or every data enthusiast who is keen on learning Snowflake. It does not need any prior experience, however, it is beneficial to have a basic understanding of cloud computing, data concepts and basic programming skills.

Table of Contents
1. Getting Started with Snowflake
2. Three Layered Architecture
3. Data Types, Data Objects and SQL Commands
4. Data Loading and Unloading
5. Understanding Streams and Tasks
6. Understanding Snowpark
7. Access Control and Managing Users Roles
8. Data Protection and Recovery
9. Snowflake Performance Optimization
10. Understanding Snowflake Costing and Utilizations
11. Implementing Cost Optimizations
12. Data Sharing
13. Data Cloning
14. Understanding Snowsight
15. Programming Connectors and Drivers
16. Workload Patterns with Snowflake
17. Introduction to Snowflake’s Advance Features

Publisher: BPB Publications

Published Date: January 12, 2024

Reviewing Books

As a technical reviewer, I’ve had the opportunity to critically evaluate manuscripts before publication, ensuring accuracy, clarity, and relevance for real-world practitioners. From validating code samples to refining explanations, my role is to bridge the gap between author intent and reader understanding — helping bring high-quality, impactful content to the tech community.

Snowflake SnowPro Core Certification Guide COF-C02

Description

Snowflake, a revolutionary cloud data warehouse platform, has gained immense popularity due to its scalability, performance, and ease of use. This comprehensive guide is designed with the knowledge and skills necessary to pass the SnowPro Core Certification exam and excel in the world of Snowflake.

Prepare for the SnowPro Core Certification with this all-inclusive guide. Understand Snowflake’s architecture, data types, and security features while mastering virtual warehouse management. Learn essential data movement strategies and performance optimization techniques like caching and clustering, and explore the latest Snowflake features. This guide includes mock tests and expert advice to help you confidently tackle the certification exam. You will gain a solid understanding of Snowflake’s unique strengths, including its ability to manage both structured and semi-structured data, secure information, and optimize performance for complex tasks.

By the end of this book, you will be well-prepared to tackle the SnowPro Core Certification exam with confidence. You will have a solid grasp of Snowflake’s fundamentals, be able to write efficient SQL queries, optimize performance, and implement best practices for data security and governance.

What you will learn

● SnowPro Core Certification overview, including subject area/domain breakdown.

● Essential tips to prepare and pass the exam.

● Snowflake’s fundamentals to advanced key concepts outlined in the SnowPro Certification.

● Industry best practices and recommendations on various key concepts.

● SnowPro Core Certification sample practice questions to test the overall knowledge.

Who this book is for

This book is for current and aspiring emerging data professionals, data/solution architects, data engineers, database administrators, data analysts, data scientists, and anyone who wants to explore and learn about the modern data cloud platform.

Table of Contents

1. SnowPro Core Certification

2. The Cloud Data Platform

3. Snowflake Cloud Data Platform Features

4. Snowflake Tools and User Interfaces

5. Snowflake Catalogs and Objects

6. Snowflake Account Access

7. Snowflake Security

8. Snowflake Virtual Warehouse and Warehouse Management

9. Snowflake Performance Management

10. Snowflake Data Loading and Unloading

11. Snowflake Data Transformations

12. Snowflake Data Protection

13. Snowflake Data Sharing

14. Snowflake Latest Additions

15. Snowflake Knowledge Test

Publication: BPB Publication

Published Date: August 30, 2024


Ongoing Review

Mastering Cloud Computing

This is an upcoming book, set to hit the market in 2026. I am currently working on it.

Modern Data Architecture on Google Cloud

Modernize on-premise systems and build data systems from scratch that support data-intensive analytics on Google Cloud Platform with this guide.

This is another ongoing work where I am reviewing book being developed for data architecture references, use cases with Google Cloud.

Author: Gopal Sahu 

Tech Reviewer: Pooja Kelgaonkar 

Release Date: March, 2026