About the Reviewer

Sumit Pal is an author who has published SQL on Big Data - Technology, Architecture and Innovations with Apress. Sumit has more than 22 years of experience in the software industry in various roles spanning companies from startups to enterprises.

He is an independent consultant working with big data, data visualization, and data science and a software architect building end-to-end, data-driven analytic systems. 

Sumit has worked for Microsoft (SQL server development team), Oracle (OLAP development team), and Verizon (Big Data analytics team) in a career spanning 22 years. Currently, he works for multiple clients advising them on their data architectures and big data solutions and does hands-on coding with Spark, Scala, Java, and Python. 

Sumit has spoken at big data conferences in Boston, Chicago, Las Vegas, and Vancouver. Sumit is also the author of the book on the same topic published by Apress in October 2016.

He has extensive experience in building scalable systems across the stack from middletier, data tier, to visualization for analytics applications, using BigData and NoSQL DB. Sumit has deep expertise in DataBase Internals, Data Warehouses, Dimensional Modeling, Data Science with Java, Python, and SQL.

Sumit started his career being a part of SQLServer development team at Microsoft in 1996-97 and then as a core server engineer for Oracle Corporation at their OLAP development team in Burlington, MA.

Sumit has also worked at Verizon as an associate director for big data architecture, where he strategized, managed, architected, and developed platforms and solutions for analytics and machine learning applications.

Sumit has also served as a chief architect at ModelN/LeapfrogRX (2006-2013), where he architected the middle tier core analytics platform with open source olap engine (Mondrian) on J2EE and solved some complex dimensional ETL, modeling, and performance optimization problems.

Sumit has done his MS and BS in computer science.

Sumit has hiked to Mt. Everest Base Camp in October 2016.