Nithya Ramakrishnan
About Nithya Ramakrishnan
Nithya Ramakrishnan is a Data Pipeline Support Engineer currently working at Health Catalyst in Hyderabad, India. She has a strong background in SQL programming and production support, with previous roles at Tata Consultancy Services and Talisma.
Work at Health Catalyst
Currently, Nithya Ramakrishnan serves as a Data Pipeline Support Engineer at Health Catalyst, a role she has held since 2023. Based in Hyderabad, Telangana, India, she works on-site to ensure the smooth operation of data pipelines. Her responsibilities include troubleshooting issues, optimizing data flow, and supporting the overall data infrastructure.
Previous Experience in Data Support Roles
Before joining Health Catalyst, Nithya worked at Talisma as a Product Support Engineer from 2022 to 2023. In this position, she was involved in providing technical support and resolving product-related issues. Prior to Talisma, she spent 11 months at Tata Consultancy Services as an SQL Support Engineer in Mumbai, Maharashtra, where she focused on SQL-related support tasks. Additionally, she worked at Integreon Managed Solutions India Pvt. Ltd. as a Document Specialist/Data Analyst from 2018 to 2021.
Education and Expertise
Nithya Ramakrishnan holds a Master's degree in Information Technology from SIES College of Management Studies, which she completed from 2020 to 2022. She also earned a Bachelor's degree in the same field from the same institution, studying from 2015 to 2018. Her educational background has equipped her with a strong foundation in data management and technology.
Technical Skills and Proficiencies
Nithya is proficient in advanced SQL programming, demonstrating skills in analytical functions, subqueries, indexes, and set operators. She has extensive experience in production support and ticket resolution using Oracle 11G. Additionally, she is skilled in creating and modifying database objects, including tables, constraints, indexes, group functions, and views. Her ability to understand business requirements and data models enhances her effectiveness in her roles.