Amitav Mohanty

Senior Software Engineer @ MatchMove

About Amitav Mohanty

Amitav Mohanty is a Senior Software Engineer at MatchMove Pay Pte. Ltd. with extensive experience in Java/J2EE, SQL, NoSQL, and Kafka.

Current Role at MatchMove Pay Pte. Ltd.

Amitav Mohanty is currently employed as a Senior Software Engineer at MatchMove Pay Pte. Ltd. since 2019. Operating out of Bengaluru, Karnataka, Amitav functions as an Individual Contributor, delivering key results independently. His role revolves around designing, developing, and maintaining software systems, leveraging his extensive experience in various technologies to drive project success without direct supervision.

Previous Experience at Cisco Video Technologies

Prior to his current role, Amitav Mohanty worked at Cisco Video Technologies India Pvt. Ltd. from 2010 to 2019. During his nine-year tenure as a Software Engineer-IV, Amitav contributed to the software development life cycle, developing and deploying scalable solutions. His work at Cisco included addressing complex technical challenges and ensuring the effective integration of various software components.

Early Career at Huawei Technologies and Netkode

Amitav Mohanty's early career includes significant stints at Huawei Technologies India and Netkode. He served as a Software Engineer at Huawei Technologies India for 11 months from 2008 to 2009, where he was involved in software projects and product development. Before Huawei, Amitav was employed as a Software Engineer at Netkode from 2006 to 2008, gaining foundational experience that set the stage for his subsequent career advancements.

Expertise in Databases and Technologies

Amitav Mohanty possesses extensive experience in both SQL and NoSQL databases, which illustrates his ability to handle diverse data storage solutions. His expertise spans over 12 years in Java/J2EE technologies, underpinning his deep understanding and proficiency in these areas. Additionally, Amitav utilizes Kafka for building real-time data pipelines and streaming applications, showcasing his skill in managing high-throughput data processing effectively.

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