Narishma Pendiyala
About Narishma Pendiyala
Narishma Pendiyala is a Data Engineer at Highmark Inc., where he has worked since 2019. He has extensive experience in the Hadoop ecosystem and various database systems, having previously held positions at Waddell & Reed and Boston Scientific.
Work at Highmark
Currently, Narishma Pendiyala serves as a Data Engineer at Highmark Inc., a position held since 2019. In this role, she is responsible for assembling, testing, processing, and maintaining the Analytic Discovery Platform. She collaborates with data and analytics experts to enhance the functionality of data systems. Her work involves building infrastructure for optimal data extraction, transformation, and loading using big data technologies. Narishma effectively interacts and communicates with all levels of staff, senior management, and customers, facilitating smooth operations within the organization.
Previous Experience in Data Engineering
Before joining Highmark, Narishma Pendiyala worked at Boston Scientific as a Senior Hadoop Developer from 2017 to 2019. Prior to that, she was a Hadoop Developer at Waddell & Reed from 2015 to 2017. Her career also includes a brief tenure at VEDICSOFT in 2015. Throughout these roles, she gained hands-on experience with various Hadoop ecosystem components and multiple database systems, contributing to her expertise in data engineering.
Education and Expertise
Narishma Pendiyala holds a Master of Science in Computer Science from Northwestern Polytechnic University, where she studied from 2014 to 2015. She also earned a Bachelor of Technology in Computer Science from Bhoj Reddy Engineering College For Women, completing her degree from 2009 to 2013. Her educational background provides a strong foundation in computer science principles, which she applies in her current role and previous positions.
Technical Skills and Methodologies
Narishma has extensive experience with a wide range of database systems, including Oracle, DB2, SQL Server, PostgreSQL, Teradata, and MySQL. She has hands-on experience with Hadoop ecosystem components such as Apache Solr, Kudu, and PySpark. Additionally, she is familiar with both Agile and Waterfall methodologies for project management, allowing her to adapt to various project requirements and team dynamics.