Vamshi Krishna Reddy A
Sr Data Engineer @Ohio Department of Medicaid
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WORK HISTORY
Sr Data Engineer @Ohio Department of Medicaid
US
Architecting and operating HIPAA-compliant, enterprise-scale data platforms for one of the largest state Medicaid programs in the US — supporting healthcare data flows across tens of millions of beneficiary records.Key contributions- Designed and deployed end-to-end ELT pipelines using PySpark, processing 2TB+ of daily Medicaid claims data with 40% reduction in processing latency compared to legacy batch workflows- Built a medallion lakehouse architecture (Bronze / Silver / Gold layers) on Delta Lake and Snowflake, enabling self-serve analytics for 10+ downstream teams across clinical, financial, and operational reporting- Engineered real-time event streaming pipelines using Apache Kafka and Azure Event Hubs to enable sub-5-minute data freshness for fraud detection and utilization management use casesEnforced HIPAA-compliant data governance across Snowflake — implementing column-level security, row-level access policies, dynamic data masking, and full audit logging across all PHI datasets- Led Hadoop-to-cloud migration initiative, decommissioning on-premise Hive/HDFS infrastructure and transitioning workloads to AWS S3 + Glue + Redshift, reducing infrastructure cost by ~30%- Standardized data pipeline observability using Apache Airflow for orchestration and Great Expectations for automated data quality validation across 800+ active pipelines- Collaborated with architects and product teams to define data contracts, SLAs, and schema governance standards adopted organization-wideStack: PySpark · Snowflake · Apache Kafka · Delta Lake · AWS (Glue, S3, Redshift, Lambda) · Azure (ADF, Event Hubs) · Apache Airflow · Python · SQL · dbt · Terraform · HIPAA compliance
EDUCATION
Osmania University
Bachelor of Engineering - BE
University of Houston
Master's degree, Computer Science
ABOUT VAMSHI KRISHNA REDDY A
As a Software Engineer at the Ohio Department of Medicaid, I contribute to the development and operation of HIPAA-compliant, enterprise-scale data platforms that process healthcare data for tens of millions of beneficiary records. My work includes designing and deploying end-to-end ELT pipelines using PySpark, implementing medallion lakehouse architecture on Delta Lake and Snowflake, and engineering real-time event streaming pipelines leveraging Apache Kafka and Azure Event Hubs. I hold a Master’s degree in Computer Science from the University of Houston and bring strong expertise in data modeling, Amazon S3, and Apache Airflow. My focus remains on enabling secure, efficient, and scalable data solutions to empower healthcare analytics, drive informed decision-making, and support operational improvements within Medicaid programs.
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