Data Lineage Generator – Automated Lineage Discovery & Mapping

Overview: Data Lineage Generator automates end-to-end data lineage discovery and visualization to reveal upstream/downstream dependencies, transformation paths, and system touchpoints across enterprise data estates. It enables faster impact analysis, stronger governance, and higher data trust via transparent source-to-report traceability.

Core Capabilities:

1. Automated Discovery Scans datasets, jobs, queries, and schemas to infer lineage across source, integration, warehouse, and analytics layers. Connects to databases, ETL tools, orchestrators, and BI platforms to build comprehensive lineage maps without manual documentation.

2. Transformation Mapping Extracts SQL/ETL logic to show column-level and table-level lineage including joins, filters, aggregations, and calculations. Supports complex transformation chains across multiple processing stages.

3. Continuous Lineage Refresh Incrementally updates lineage graphs as pipelines, code, and schemas change. Supports versioning and change history — teams compare lineage states over time.

4. Impact & Root-Cause Analysis Traces breakpoints upstream and downstream. When a data issue occurs, instantly identifies all affected reports, models, dashboards, and downstream consumers.

5. Visualization & Export Interactive lineage views at system, dataset, and field levels with filters and search. Exports in standard formats for AWS Glue Data Catalog, Collibra, and Purview.

6. Policy & Governance Hooks Tags sensitive fields, embeds classifications, and supports quality thresholds linked to lineage nodes for compliance-aware data management.

Industry Applications: • Banking: End-to-end lineage from core banking through ETL to regulatory reports (BCBS 239, CCAR). Impact analysis identifies which reports are affected by upstream schema changes. Audit-ready evidence for OCC and Fed examinations. • Insurance: Lineage across claims, policy admin, and actuarial systems. Traces data from first notice of loss through adjudication to reserves. Supports Solvency II evidence requirements. • Travel: Lineage from GDS booking feeds through pipelines to revenue dashboards. Impact analysis shows which analytics are affected when Amadeus/Sabre feed formats change. • Healthcare: Clinical data lineage from EMR/EHR through analytics to CMS quality measure submissions. Supports HIPAA audit requirements with transparent PHI data flow traceability.

Business Benefits: • Faster change management: quickly assess downstream impacts of schema changes • Reduced operational risk: early detection of lineage breaks improves reliability • Better collaboration: shared visual understanding of data flows • Higher trust: transparent source-to-report traceability • Lower maintenance: centralized lineage intelligence for reuse across teams

Cloud-Native Deployment on AWS: Deployed on Amazon EKS. Amazon Neptune provides graph database for lineage storage. AWS Glue captures pipeline metadata. Amazon S3 stores exports. Amazon Bedrock powers AI-assisted lineage inference for undocumented transformations.