Data Quality & Monitoring
Automated data quality checks and anomaly detection
❌ The Problem
- →Bad data breaks dashboards and reports
- →No alerts when data pipelines fail
- →Duplicates and null values go unnoticed
- →Schema changes break downstream models
- →Stale data leads to wrong decisions
✅ The Solution
- →Schema validation and drift detection
- →Null/duplicate/outlier monitoring
- →Data freshness alerts
- →Auto-remediation workflows
- →Proactive monitoring with Slack alerts
Key Features
Schema validation and drift detection
Null/duplicate/outlier monitoring with dbt tests
Data freshness alerts (SLA monitoring)
Auto-remediation workflows
Anomaly detection for metric spikes/drops
Row count and volume monitoring
Custom data quality rules
Historical quality tracking
Slack/email alerts for failures
Integration with Great Expectations
Pricing
$2,900
One-time setup + configuration
Optional: $400/month ongoing maintenance
Includes new tests, rule updates, and support
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