A watchful protector ensuring security, accuracy, and information governance. "Sentinel is more than a name—it’s a promise. A watchful protector of your organization’s most valuable asset: information. With unwavering focus on security, precision, and governance, Sentinel ensures that your data remains accurate, trustworthy, and compliant."

A CKAN extension to allow providing and visualization of data lineage

Data Lineage with End-to-End Pipelines on Kubernetes

Tracks data flow and governance audit logs in AI systems.

Data Governance & Data Quality Automation Project

Data Lineage

A Spark Atlas connector to track Databricks lineage in Azure Purview

Databricks SQL in Action — End-to-end medallion architecture lab using Unity Catalog, Volumes, Streaming Tables, Materialized Views, AI SQL functions, dashboards, lineage, and workflow orchestration.

NEXUS is a Knowledge Graph-driven Data Catalog with GraphRAG capabilities, extending SANTOS (SIGMOD 2023) research into a production-ready enterprise system. NEXUS demonstrates novel contributions in hybrid retrieval, cross-platform data federation, and explainable AI for data governance.

A library for parsing BigQuery queries and extracting schema-aware, column-level lineage.

Open-source Delta Lake data quality and management tool. Go-first, dbt-compatible, CLI-friendly. Supports profiling, validation, lineage, and alerts.

IBM Multi-Lineage Data System

Helps you to visualize data lineage. Highly customizable.

Holistic approach for understanding Neo4j and Data Lineage

Metastore Python SDK. Feature store and data catalog for machine learning.

MCP agent that generates Apollo GraphQL servers from BigQuery queries with Dataplex lineage tracking

An end-to-end dbt project for time-series feature engineering. Transforms raw e-commerce sales data into a forecasting-ready model with lag features, rolling averages, and event tracking.

Time-travel adapters for MindsEye SQL — reconstructing historical database languages, relational algebra, and legacy query styles into modern LAW-T/Law-N time-labeled SQL.

Automatic Schema Lineage Discovery for SQL and Notebook Pipelines — includes Algorithm 1 implementation, SDG builder, synthetic corpus generator, and Colab quickstart for reproducible experiments.

Sanitized ML-based risk scoring pipeline for a Tier-1 UK Retail Bank (GCP + BigQuery ML). Includes Batch/ETL ingestion, feature engineering, BQML training, scoring workflows, governance, lineage, and runbooks. No client code/data.