Data Lineage Tracker

Maps end-to-end data lineage from source systems through transformations to downstream consumers, enabling impact analysis, debugging data quality issues, and ensuring regulatory compliance.

Gold

v1.0.00 activationsData & AnalyticsTechnologyadvanced

SupaScore

84.6

Research Quality (15%)

8.5

Prompt Engineering (25%)

8.5

Practical Utility (15%)

8.5

Completeness (10%)

8.5

User Satisfaction (20%)

8.3

Decision Usefulness (15%)

8.5

Best for

▸Mapping complete data flows from source systems to downstream dashboards and ML models for regulatory audit trails
▸Performing impact analysis before schema changes to identify all affected downstream systems and consumers
▸Debugging data quality issues by tracing problematic records back through transformation pipelines to their origin
▸Implementing column-level lineage tracking for sensitive data fields to ensure GDPR and CCPA compliance
▸Building automated data catalog documentation that shows business users where their reports' data comes from

What you'll get

●Interactive lineage graph showing table-to-table flows with transformation details and downstream consumer mapping
●Impact analysis report listing all affected datasets, dashboards, and ML models when a source system changes
●Column-level lineage documentation tracking PII fields through complex transformations with compliance annotations

Not designed for ↓

×Creating the actual data pipelines or ETL jobs themselves
×Performing data quality testing or validation of data values
×Building the underlying data warehouse or lake infrastructure
×Managing user access permissions or data security policies

Expects

Details about your data ecosystem including source systems, transformation tools (dbt, Airflow, Spark), target systems, and specific lineage tracking requirements (table vs column level).

Returns

A comprehensive lineage map with source-to-target flow documentation, impact analysis reports, and actionable recommendations for lineage governance implementation.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

data-lineagemetadata-managementdata-governanceimpact-analysisdata-qualityopenlineagedbtapache-atlasdata-catalogetl-eltcompliancecolumn-level-lineagedata-observability

Research Foundation: 8 sources (4 official docs, 2 books, 2 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial release

Prerequisites

Use these skills first for best results.

Data Pipeline ArchitectGold

Works well with

Apache Airflow EngineerGold Data Catalog ArchitectPlatinum Data Governance StrategistGold Data Quality EngineerGold dbt Analytics EngineerGold

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Data Mesh ArchitectGold Event Schema ArchitectGold Data Contract Governance SpecialistGold

Common Workflows

Data Governance Implementation

End-to-end data governance setup from pipeline design through lineage tracking to quality monitoring and policy enforcement

Data Pipeline Architect→data-lineage-tracker→Data Governance Strategist→Data Quality Engineer

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