AWS and Snowflake modernization
A governed payer-data platform supporting claims, eligibility, member, provider, pharmacy, finance, and operational reporting.
50M+
healthcare records processed
35%
latency reduction
30%
compute cost savings
The failure mode
Legacy healthcare workloads needed a reusable cloud platform with controlled ingestion, certified analytics layers, strong security, and recoverable production operations.
Healthcare Sources
AWS Standardization
Orchestration
Snowflake Marts
Source Landing
Database extracts, REST APIs, partner files, and CDC feeds land in encrypted S3 zones with audit columns and schema capture.
AWS Standardization
AWS Glue and PySpark standardize high-volume claims, eligibility, member, provider, and pharmacy datasets.
Airflow Orchestration
Apache Airflow orchestrates ingestion, validation, transformation, publication, retries, SLAs, and backfills.
Snowflake Serving
Snowflake and dbt provide dimensional marts with conformed dimensions, SCD Type 2 history, snapshots, tests, and documentation.
Partner files, database extracts, APIs, and CDC feeds all had different failure modes and audit requirements.
Built reusable ingestion patterns with schema capture, audit columns, encryption, retries, quarantine handling, and recoverable incremental loads.
Claims and payment discrepancies could not flow silently into reporting layers.
Added row-count, payment-total, duplicate, referential-integrity, and freshness reconciliation before datasets were certified for analytics.
Healthcare teams needed consistent definitions across claims, member, provider, pharmacy, finance, and operations reporting.
Modeled Snowflake/dbt fact and dimension layers with conformed dimensions, SCD Type 2 history, snapshots, tests, and documentation.