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

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