About

Shiva Achari is a seasoned professional in the field of data and analytics, with over 14 years of experience in designing and implementing cutting-edge technologies. He is currently working as a Senior Data Labs Architect at Amazon Web Services (AWS), where he helps customers solve their cloud architecture challenges, particularly in the area of data analytics. In his current role, Shiva works as a solution architect, helping customers design or build their data analytic architecture solutions on their data and environment to create a minimum viable product. Shiva has extensive industry experience and has architected, designed, and developed multiple innovative and high-performing large-scale solutions, including big data management, distributed systems, near real-time use cases, AWS cloud-based applications, and data analytics solutions. He is also the author of the book Hadoop Essentials, which covers Hadoop and ecosystem components and how to leverage them in different phases of the Hadoop project life cycle. In addition to his book, Shiva has authored several blog posts, including "Run a Spark SQL-based ETL pipeline with Amazon EMR on Amazon EKS" and "Build a SQL-based ETL pipeline with Apache Spark on Amazon EKS." Shiva's expertise in the field of data and analytics is evident in his TechStack, which includes senior software engineering, AWS, SQL, Hadoop, web, Spark, big data, and ETL. Shiva's past experience includes working as a Senior Data Labs Solutions Architect for big data analytics and a Solutions Architect for the startup ecosystem, both at Amazon. Shiva has an educational background in engineering, having completed a Bachelor of Engineering degree from the University of Mumbai. Overall, Shiva is a highly skilled and experienced data and analytics professional with a proven track record of designing and implementing innovative solutions. His expertise in AWS and data analytics makes him a valuable asset to any organization looking to leverage the power of data to drive business success.