Ashish Thapa

I’ve architected and delivered scalable healthcare data platforms at CVS Health, handling claims, member, provider, pharmacy, clinical, and operational analytics workloads using AWS-based lakehouse patterns and trusted datasets.

I’ve led enterprise ingestion and transformation frameworks with Python, SQL, PySpark, Apache Spark, and dbt—standardizing pipelines, improving reliability, and supporting analytics, regulatory reporting, and AI/ML initiatives.

I’ve designed CDC and incremental processing architectures (watermarking, merges, checkpointing) and implemented data quality frameworks with automated validation, quarantine handling, and reconciliation controls to reduce data quality issues.

Across Humana and Cleveland Clinic, I’ve built batch and streaming pipelines, orchestrated 75+ to 100+ production workflows, and strengthened governance and security for PHI/PII data while collaborating with analytics, data science, and security stakeholders.