Mayura Patwardhan

Title: Mayura Patwardhan and Graph-Based ETL Code Generation.

Introduction

Mayura Patwardhan is an inventor based in Brooklyn, New York, and is associated with Amazon Technologies, Inc. His patent work addresses ways to generate Extract, Transform, Load (ETL) code from natural-language descriptions.

Latest Patents

Patwardhan is named on one patent: Mechanisms for Scaling Extract Transform Load Code Generation. The invention describes systems and methods that receive a natural-language request for ETL code and create a graph representation of the requested workflow. The graph contains nodes for obtaining data from sources, transforming data, and storing it in destinations, with connections that reflect the described operations. A generative machine-learning model can help identify those operations and construct the graph, which is then used to provide a response to the request. The patent record lists 1 patent for Patwardhan.

Career Highlights

Patwardhan’s disclosed patent work focuses on applying generative machine learning to data-engineering workflows. By translating natural-language descriptions into graph-based ETL representations, the approach aims to make it easier to specify and generate data-processing code.

Collaborations

The patent lists Venkata Narasimha Vishal Narasimha Kajjam, a woman, as a coworker. Patwardhan is associated with Amazon Technologies, Inc., the company named in the provided information.

Conclusion

Mayura Patwardhan’s patent highlights an approach to turning natural-language instructions into graph-based ETL workflows, connecting generative machine learning with practical data-processing tasks.