Pramod Manjappa
About Pramod Manjappa
Pramod Manjappa is a Senior Data Engineer at Treasure Data, where he has worked since 2020, specializing in data ingestion and ETL testing. He has over 16 years of experience in data engineering, having previously held positions at eBay, Cognizant, and Infosys.
Work at Treasure Data
Pramod Manjappa has been employed at Treasure Data as a Senior Data Engineer since 2020. In this role, he focuses on ingesting customer data from various sources to create unified customer profiles. He has developed a Hive test bed by generating and importing multi-terabytes of Hive test data using the TPC-DS framework. His work also involves creating complex Spark SQL and Hive queries for customer segmentation based on demographics. He utilizes automated test scripts integration through the CircleCI CI/CD tool, enhancing the efficiency of ETL testing processes.
Previous Experience in Data Engineering
Before joining Treasure Data, Pramod Manjappa worked at eBay as a Senior Data Engineer from 2019 to 2020. Prior to that, he spent four years at Cognizant in the same role from 2015 to 2019. His career began at Infosys, where he served as a Technology Analyst from 2007 to 2011 and later as a Technology Lead from 2011 to 2015. His diverse experience across these organizations has contributed to his expertise in data engineering.
Technical Skills and Expertise
Pramod Manjappa possesses strong technical skills in data engineering, particularly in ETL testing and automation. He has hands-on experience with various Amazon Web Services, including EC2, RDS, S3, CloudWatch, Auto Scaling, and EMR. His proficiency in creating automated test scripts and integrating them into CI/CD pipelines demonstrates his commitment to improving data processing workflows. Additionally, he is skilled in developing complex queries using Spark SQL and Hive.
Educational Background
Pramod Manjappa earned a Bachelor of Engineering (BE) degree in Electronics and Communications Engineering from Bapuji Institute of Engineering and Technology. This educational foundation has equipped him with the necessary knowledge and skills to excel in the field of data engineering.