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Gen AI – Data Lineage Automation
Automating transformation tracking and simplifying SQL logic visibility across regulatory environments.
Gen AI – Data Lineage Automation
Client / Department
The client managed a complex network of SQL transformations supporting regulatory reports. Manual interpretation of PL/SQL and HiveSQL scripts slowed delivery and increased compliance risks. Business users struggled to understand the data logic, while tech teams spent excessive time decoding code—a major blocker for governance and documentation efforts.
Problem
Manual, time-intensive documentation of SQL logic
- Thousands of PL/SQL and HiveSQL scripts were manually analyzed
- Limited transparency for non-technical stakeholders
- Fragmented transformation visibility increased audit risk
Solution
AI-driven system to automate data lineage and SQL interpretation
- RAG-based document intelligence added business context
- LLMs extracted and explained SQL transformations
- Feedback loops enhanced model learning and accuracy
Technology Stack
We combined modern AI frameworks with robust integration layers to support secure on-premise deployment.
GPT-4o, Qwen 2.5, BERT
LangChain & LlamaIndex
Elasticsearch (Vector DB)
Python Core + Flask
HTML/CSS
RESTful APIs
On-Premise Deployments
Achievements
Significant improvements in compliance, documentation, and efficiency.