Premnath Vuppala

About Premnath Vuppala

Data Engineer with 5 years of experience designing and optimizing scalable data pipelines…

Experience

1. Data Engineer

   MetLife

   Jan 2024 — Present · US

   Applied Agile methodologies in project management to promote iterative development and ensure the continuous delivery of data-driven solutions that adapt to changing business requirements. • Conducted in-depth data analysis utilizing Python, R, SQL, and SAS to enable robust data processing and accurate predictive modeling, delivering high-quality analytical results. • Optimized Hadoop cluster performance, resulting in a 45% reduction in job completion times and more efficient resource utilization. • Designed and implemented scalable ETL pipelines using Apache Spark and Airflow, processing over 500GB of daily data and reducing processing time by 40%. • Developed and managed real-time data pipelines using Apache Kafka and Spark Streaming to capture user behavior for fraud detection, reducing false positives by 15% and improving transaction security. • Migrated SQL Server databases to AWS RDS and GCP Big Query, reducing query execution times by 40% and lowering infrastructure costs by 25% through optimized resource allocation. • Developed a data lake solution using Delta Lake on Azure Databricks, enabling efficient storage and analysis of structured and unstructured data at petabyte scale. • Managed databases including MySQL, HBase, DynamoDB, and MongoDB, ensuring high availability, performance, and scalability of data storage solutions.