Data PlatformVER_4.02
Data Quality & Validation Framework
PythondbtPostgreSQLApache AirflowGrafana
System Architecture
Logic Flow & Infrastructure Analysis
01_The_Problem
Silent data quality issues surfaced late in reports, eroding trust in the platform.
02_Architecture_Solution
dbt tests covered schema, freshness, uniqueness, and referential integrity for warehouse models. A Python validator layer ran configurable pre-load checks on raw batches — nulls, ranges, cardinality, and business rules — surfacing violations to Grafana dashboards and Airflow alerts before bad data reached downstream consumers.
Execution Metrics
Throughput / Volume
Hundreds of pipelines instrumented
Performance / Latency
Fail-fast on ingestion