Jing Yang

I’m a Senior Data Engineer with 10+ years of experience building large-scale cloud data platforms across healthcare, claims, pharmacy, and clinical domains. I focus on turning complex healthcare data into trusted, high-performance data products that drive measurable business impact.

At CVS Health, I spearheaded development of an Enterprise Healthcare Data Lake on AWS, consolidating pharmacy, claims, PBM, provider, and clinical data from multiple partners into a centralized analytics platform for 50M+ members and 5B+ claims records. I architected a cloud-native Medallion Data Platform using AWS S3, Databricks, Snowflake, EMR Spark, AWS Glue, and Amazon Redshift, and I’ve reduced data processing latency by 45% through partition pruning, broadcast joins, caching, and workload parallelization.

Previously at UnitedHealth Group, I led an enterprise Healthcare Claims Data Lake on AWS for 150M+ monthly claims records and 20M+ members. I reduced reporting latency from 24 hours to less than 1 hour and lowered operational costs by 30% while migrating legacy workflows to a modern cloud data platform with Fivetran, Matillion, Snowflake, and Databricks.

I also build reusable ELT and data quality frameworks with dbt, SQL, Python, and metadata repositories, and I bring strong governance and HIPAA compliance practices using AWS controls. I containerize and orchestrate pipelines with Docker, Kubernetes, and Apache Airflow, and I’ve supported cross-cloud adoption (AWS and Azure) while mentoring junior engineers and improving engineering standards.