Ramineni Navya Sree

Data Engineer @Cotiviti

US

Designed and deployed large-scale data ingestion workflows for healthcare claims, converting raw text files into Parquet format on HDFS, improving query performance by 45%.>Built Hive tables using dynamic partitioning and bucketing strategies, reducing query scan costs by 35% on datasets exceeding 10 TB.>Developed complex Hive SQL and PySpark transformations to standardize and reconcile provider, claim, and member datasets, enhancing data accuracy from 92% to 99%.>Automated daily data ingestion pipelines with Oozie and SFTP transfers, achieving 99.5% on-time load success and eliminating 6 hours of manual effort weekly.>Integrated Python-based validation scripts for row-level and aggregate quality checks, increasing error detection rates by 40%.>Implemented data masking, column-level encryption, and key rotation to ensure HIPAA compliance, resulting in zero audit findings in 2024.>Tuned Hadoop cluster performance by optimizing YARN and Hive Tez execution parameters, reducing job execution times by 25%.>Collaborated with analysts and DevOps teams to deliver Tableau dashboards powered by refreshed Hive datasets, reducing reporting turnaround time from 3 days to 6 hours.

Auburn University at Montgomery

Master's degree, Computer Science

Malla reddy college of engineering for womens

Bachelor of Technology - BTech, Computer Science