Seattle, WA, United States of America

Sanjay Mathew Thomas

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sanjay Mathew Thomas. Retrieved from https://idiyas.com/inventor/sanjay-mathew-thomas

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Sanjay Mathew Thomas and His Patent for Shadow Data Lakes.

Introduction

Sanjay Mathew Thomas is an inventor based in Seattle, Washington. His work includes a patent for systems and methods that support deletion workflows in data lakes.

Latest Patents

Thomas is associated with 1 patent, titled “Shadow Data Lakes.” The invention describes systems, devices, and methods for implementing shadow data lakes. In at least one embodiment, a deletion workflow retrieves a deletion request from a delete request cache service and obtains attestation details from an attestation service. It then submits a job to scan records in a source table, publishes those records to a deleted records table in a shadow data lake, and causes the records to be deleted from the data lake.

Career Highlights

Thomas works at Amazon Technologies, Inc. His patent addresses data-management processes for handling deletion requests and retaining deleted records in a shadow data lake.

Collaborations

Thomas’s listed coworkers include Daniel Opincariu and Yangbae Park. The available information identifies them as coworkers but does not specify their roles in the patent.

Conclusion

Sanjay Mathew Thomas’s patent on shadow data lakes focuses on coordinating record deletion with the publication of deleted records, reflecting an approach to data-lake management at Amazon Technologies, Inc.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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