Jayalakshmi (Jay) N.
About Jayalakshmi (Jay) N.
Jayalakshmi (Jay) N. is a Senior Data Modeler in the Data Governance Program at American Tower, where she has worked since 2018. She holds a Bachelor of Engineering in Electronics and Communication Engineering from Saranathan College of Engineering and has previous experience as a Senior Analyst and ETL Developer.
Current Role at American Tower
Jayalakshmi N. currently holds the position of Senior Data Modeler in the Data Governance Program at American Tower. She has been in this role since 2018, contributing to data governance initiatives for six years. In her current capacity, she has developed a process to review the referential integrity of data, ensuring that data remains accurate and reliable across systems.
Previous Experience at American Tower
Before her current role, Jayalakshmi worked at American Tower as a Senior Analyst from 2015 to 2018. During her tenure, she oversaw the creation of role-based user rights and permissions utilizing asset information systems. This experience laid the groundwork for her expertise in data governance and management.
Background in Software Engineering
Jayalakshmi began her career at Infosys Limited, where she worked as a Software Engineer - ETL Developer from 2009 to 2011 in Hyderabad, India. In this role, she implemented techniques to review the historical integrity of data, contributing to the overall quality and reliability of data management processes.
Education and Expertise
Jayalakshmi earned her Bachelor of Engineering (B.E.) in Electronics and Communication Engineering from Saranathan College of Engineering, affiliated with Anna University, from 2005 to 2009. She furthered her education at Harvard Extension School from 2017 to 2018. Her academic background supports her expertise in data modeling and governance.
Data Governance Contributions
In her current role as Senior Data Modeler, Jayalakshmi has designed and implemented domain authority models for master data creation and maintenance. She has also developed methodologies to correlate discrepancies between multiple databases, facilitating data and document cleanup. Her contributions enhance the integrity and usability of data within the organization.