Nabarun Chakrabarty
About Nabarun Chakrabarty
Nabarun Chakrabarty is a Tech Lead in Data Engineering Display at Rakuten Advertising, where he designs data solutions and ensures platform reliability. He holds a Bachelor of Science in Physics from the University of Calcutta and two Master's degrees in Computer Science and Business Administration from Florida Atlantic University and the University of Utah, respectively.
Work at Rakuten Advertising
Nabarun Chakrabarty has been employed at Rakuten Advertising since 2012, serving as the Tech Lead for Data Engineering Display. In this role, he collaborates closely with business intelligence and analytics teams, as well as product teams, to design data and reporting solutions. His responsibilities include ensuring platform availability and compliance with service level agreements (SLAs). Chakrabarty has developed and maintains the data models for the reporting database and schemas, which are critical for accurate business reporting.
Education and Expertise
Nabarun Chakrabarty holds a Bachelor of Science in Physics from the University of Calcutta, where he studied from 1989 to 1993. He furthered his education with a Master of Science in Computer Science from Florida Atlantic University, completing his studies from 2008 to 2010. Additionally, he earned a Master of Business Administration (MBA) in Computer Science from the University of Utah, studying from 2013 to 2015. His educational background provides a strong foundation for his expertise in data engineering and analytics.
Background
Nabarun Chakrabarty has over a decade of experience in the field of data engineering, specifically in high-volume data environments. He has developed solution architectures for systems that handle significant data velocity, which requires collaboration across multiple teams. His work emphasizes continuous improvement in service level, quality, and reliability of data services, showcasing his commitment to enhancing operational efficiency.
Achievements in Data Management
Chakrabarty has automated data management processes and scheduled reporting to align with customer requirements. He utilizes both available and custom-built utilities to achieve these objectives. His proactive approach to process improvements has significantly enhanced the service level and reliability of data services, contributing to better business outcomes.