About Author & Technical Reviewer

Simhadri Govindappa holds a Bachelor of Engineering in Electronics and Communication Engineering from M.S. Ramaiah Institute of Technology, Bangalore, India. He is an accomplished professional with significant contributions to the field of big data.

Simhadri began his career at GE Healthcare as part of the AI data platform team, where he developed AI models and deep learning annotation tools. His work led to a patent granted by the USPTO (patent no: US11069036B1). He then moved to Cloudera, a pioneer in big data, joining the Apache Hive R&D team. His work primarily focuses on Distributed systems, Apache Iceberg, Apache Hive, Hive- ACID-Spark Connectivity (HWC), and enhancing Hive Acid functionality.

Simhadri has made notable contributions to the Apache Hive open-source community, for which he was awarded Hive Committership. He has also presented his work on Hive-Iceberg integration at the Apache Conference - Community Over Code, held in Bratislava, Slovakia. Currently, he serves as a Senior Software Engineer at Cloudera's Enterprise DataWarehouse R&D Team, where he continues to tackle complex challenges and drive advancements in big data technologies.

Additionally, Simhadri has participated in and won numerous hackathons, including the Smart India Hackathon 2019. He has also presented a few papers at IEEE conferences on various topics. When not working on technical projects, Simhadri enjoys traveling and reading books.

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ABOUT TECHNICAL REVIEWER

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Ambarish Kumar is a seasoned expert in the Data and Analytics domain with over 15 years of experience in building and leading scalable, data-driven solutions. His career has been marked by significant contributions to big data and distributed technologies, including designing and implementing robust data engineering platforms and pipelines. Ambarish has been awarded several patents in the area of distributed technology and has a proven track record of building data platforms for various enterprise organizations, driving innovation, and achieving substantial cost savings.

As a leader in the industry, Ambarish has successfully developed high-impact data, analytics, and AI products that address critical business and customer use cases, significantly contributing to organizational growth and Annual Recurring Revenue (ARR). His active involvement in the tech community and strong problem-solving skills have enabled him to navigate both startup and enterprise environments effectively. Passionate about technology, Ambarish continuously adapts to emerging trends, making him an invaluable mentor and consultant in the field.