This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Pratik Shinde: Innovator in Database Recovery Technologies
Introduction
Pratik Shinde is a notable inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of database recovery, particularly through his innovative patent. His work focuses on enhancing the reliability and efficiency of database systems, which is crucial in today's data-driven world.
Latest Patents
Pratik Shinde holds a patent titled "Lossless database recovery using logical replay in a multi-volume database environment." This patent describes techniques for lossless database recovery using logical replay in a multi-volume database environment. The methods outlined in the patent enable fast database recovery by utilizing transactional awareness. In the event of a failure associated with a first volume storing database page data, the first volume can be restored to a specific point in time. Transactions occurring at or after that point can be identified and replayed using a second volume that tracks logical change data for the database. This innovation is vital for maintaining data integrity and minimizing downtime.
Career Highlights
Pratik Shinde is currently employed at Amazon Technologies, Inc., where he continues to develop and refine his expertise in database technologies. His role at Amazon allows him to work on cutting-edge projects that push the boundaries of what is possible in data management and recovery.
Collaborations
Throughout his career, Pratik has collaborated with talented professionals, including Punit Rajgaria and Ramesh Chander. These collaborations have fostered an environment of innovation and creativity, leading to advancements in their respective fields.
Conclusion
Pratik Shinde is a distinguished inventor whose work in database recovery technologies has made a significant impact on the industry. His patent demonstrates a commitment to improving data reliability and efficiency, which is essential in today's technology landscape.
