sadhvika reddy

At Anthem, I build secure AWS data platforms for de-identified healthcare datasets, enabling AI and analytics collaboration. I enhanced PySpark and AWS Glue ETL workflows processing more than 500,000 records daily and improved Redshift query performance by 40%.

I develop Airflow orchestration, automated recovery, and privacy-preserving data practices including tokenization and differential privacy to support HIPAA-compliant processing. I also reduced AWS storage costs by 20% through Parquet compression and Glacier lifecycle policies.

Previously at Harman Connected Services, I built ETL pipelines and data models for JBL and Harman Kardon connected-device data, supporting personalized audio settings, machine learning features, and product insights. I reduced pipeline execution time by 20% using AWS and Python and created Tableau dashboards for engagement and device-performance trends.

My work spans PySpark, Kafka, Airflow, SQL, dbt, AWS, Azure, Snowflake, and data warehousing. I enjoy building quality-controlled, scalable pipelines that turn complex operational data into dependable reporting and decisions.