About

Hemanth Varma is a highly skilled Data Analyst and Data Engineer with over 3 years of relevant experience. He is currently working at WilmerTech, where he serves as the Business and Technology primary point of contact for reporting and analytics capabilities. He is responsible for developing and sharing central data and information management strategies to help drive enterprise data frameworks to the business for translation and adoption. Hemanth is also responsible for developing subject matter expertise in Plan to produce (PTP) or Source to Pay (STP) data and acting as a connection point to lead end-to-end thinking on the data subject area. Hemanth has a strong background in data engineering, having previously worked at iQuest Solutions Corporation as a Data/Software Engineer. At iQuest Solutions, he developed data reconciliation processes using Python, AWS S3 for financial transactions, built ETL pipelines for financial analysts using RDS, AWS Glue, and S3, resulting in an 80% time-savings, and automated the weekly transaction workflow and added data quality checks using Python, SQL, and Amazon Athena. Hemanth also worked as a Data Engineering Intern at Bodhtree, where he implemented an S3, Glue-based data lake on AWS to aid data science work through Python. He worked on Amazon EC2 and Sage Maker to develop machine learning models on Amazon S3 Databases, enabled Amazon IAM service to grant permissions and resources to users, managed roles and permissions of users with the help of AWS IAM, and configured AWS Multi-Factor Authentication. Hemanth has a Master of Science in Business Analytics from California State University, where he gained a deep understanding of business analytics. He also has a Bachelor's degree from Christ University, Bangalore. Hemanth's tech stack includes Data Engineering, AWS, Python, SQL, AWS Glue, Software Engineer, Amazon Athena, ETL, ML, and Data Scientist. He is a highly motivated individual who enjoys working cross-functionally, across programs, and quantifying pain points, developing use cases, defining requirements, and implementation activities on high priority initiatives. Hemanth is committed to ensuring adherence to enterprise data and analytics and governance processes.