Rashmi Ranjan Acharya
About Rashmi Ranjan Acharya
Rashmi Ranjan Acharya is a Marklogic Developer and Administrator with over 12 years of experience in software design and development, particularly in MarkLogic databases and XML technologies. She has held various positions at Tata Consultancy Services and Cognizant, and is currently employed at the American Chemical Society.
Work at American Chemical Society
Currently, Rashmi Ranjan Acharya serves as a Marklogic Developer/Administrator at the American Chemical Society. She has been in this role since 2023, working remotely from Hyderabad, Telangana, India. In this position, she is responsible for various database management tasks, including performance tuning and search option development for MarkLogic databases.
Previous Experience at Tata Consultancy Services
Rashmi Ranjan Acharya worked at Tata Consultancy Services (TCS) in various capacities from 2011 to 2014. She began as an Assistant System Engineer-Trainee for one year, followed by a role as an Assistant System Engineer for another year. Her final position at TCS was as a System Engineer, where she worked for one year in Kolkata, West Bengal, India. During her tenure, she gained experience in database activities, including cluster management and app server setup.
Experience at Cognizant
Rashmi Ranjan Acharya worked at Cognizant from 2014 to 2019. She started as an Associate in the Big Data Practice, focusing on Enterprise Information Management for three years. Following this role, she advanced to the position of Senior Associate in the Artificial Intelligence & Analytics – Big Data division, where she worked for two years in Hyderabad, India. Her responsibilities included managing backup/restore and source control management for MarkLogic databases.
Education and Expertise
Rashmi Ranjan Acharya holds a Bachelor of Technology (BTech) degree from Biju Patnaik University of Technology, Odisha. She possesses over 12 years of expertise in software design and development, particularly with MarkLogic server and XML technologies. Her skills include performance tuning, search option development, and implementing MarkLogic unit testing frameworks across multiple clusters.