Azure Documentdb in Practice: Understanding Designing, Deployment, Optimization & Enterprise Scaling (Paperback) (ISBN-13: 9798868827549)

Pankaj Khattar is a Principal Engineering Manager at Microsoft and a seasoned leader in the design and evolution of large-scale distributed data systems. With over two decades of experience, he has been at the forefront of building and optimizing cloud-native database platforms that power mission-critical applications at global scale. His expertise spans database internals, distributed systems architecture, and performance engineering, with deep specialization in Azure DocumentDB, MongoDB, PostgreSQL and Big Data technologies.

At Microsoft, Pankaj has led high-impact engineering initiatives focused on pushing the boundaries of performance, scalability, and reliability in modern data platforms. He has designed and optimized distributed architectures for high-throughput systems, pioneered advanced workload modeling and benchmarking frameworks, and resolved complex production challenges in multi-node environments. His work has significantly contributed to improving query performance, concurrency handling, and resilience for enterprise-scale deployments.

Widely recognized for his ability to bridge deep system internals with real-world operational demands, Pankaj has worked closely with enterprise customers to diagnose and resolve critical issues, ranging from latency anomalies and contention hotspots to failover and data consistency challenges under stringent SLAs. His contributions have helped shape best practices for operating databases reliably at scale.

Pankaj is also an accomplished author and previously wrote Data Lake Analytics on Microsoft Azure, where he provided practical insights into building scalable data processing solutions on the cloud. He continues to contribute to the broader engineering community through mentorship, knowledge sharing, and thought leadership.

This book represents a culmination of his experience, offering not just technical depth, but a systems-level perspective on building, tuning, and troubleshooting distributed databases in real-world production environments.