Naresh Meena

Lead Big Data Developer at Gathr Data Inc.

Naresh Meena has a strong background in big data development and software engineering. Naresh is currently working as a Lead Big Data Developer at Gathr since September 2022. Prior to that, they worked at Impetus for five years, starting in August 2018. While at Impetus, they held the role of Big Data lead Software Engineer, where they focused on creating connectors for reading and saving data for big data applications. Naresh also had experience in end-to-end big data processing and supporting system application architecture. Before their role as a Big Data lead Software Engineer, Naresh worked as a Senior Software Engineer at Impetus from March 2015 to February 2018.

Before joining Impetus, Naresh was a Senior Software Engineer at Tavant Technologies from February 2011 to March 2014. During their time at Tavant Technologies, they were responsible for designing user interfaces, developing business logic and service layers using Java, persisting data to databases, and attending performance meetings and reviews. Naresh also had a brief role as a Software Engineer at Tavant Technologies from February 2011 to January 2012, where they focused on front-end design, designing user interfaces, developing business logics using Java, and persisting data to databases.

Overall, Naresh Meena has a solid work experience in big data development, software engineering, and user interface design.

From 2003 to 2006, Naresh Meena attended Govt MVM College Bhopal (MP) where they obtained a Bachelor's Degree in Mathematics and Statistics. Following this, from 2007 to 2010, they pursued a Master of Computer Applications (MCA) degree in Computer Programming at Rajiv Gandhi Prodyogiki Vishwavidyalaya.

Location

Bengaluru, India

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Gathr Data Inc.

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Gathr, created by a team of industry veterans and visionaries from Impetus, is a next-gen, cloud-native, fully-managed, no-code data pipeline platform. It’s the only all-in-one platform for all data integration and engineering needs – batch and streaming ingestion, CDC, ETL, ELT, data preparation, machine learning, and analytics. With Gathr’s visual drag-and-drop interface, native integration for all popular data sources and destinations, an exhaustive set of pre-built operators, and a rich pipeline template gallery, anyone can build and deploy data pipelines, quickly and easily.


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501-1,000

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