Lakehouse

End-to-End Data Engineering & AI Pipeline

Metadata-driven Lakehouse automation with Databricks, Delta Lake, & Unity Catalog

Databricks medallion architecture showing data sources flowing through Auto Loader, Bronze, Silver, Gold and analytics

Project Overview

Built an end-to-end data platform that automates multi-source ingestion into a structured Lakehouse. Utilizing Databricks Auto Loader for file ingestion and JDBC connectors for relational databases, raw data is ingested into Bronze tables. PySpark scripts perform cleansing, validation, and deduplication into Silver tables, before business rules enrich Gold layer aggregate tables powering Databricks SQL dashboards and AI-BI analytics.

The Problem

Raw data arriving from heterogeneous sources (files and relational databases) suffered from inconsistent schemas and duplicate records, preventing downstream analysts from accessing timely datasets.

The Solution & Architecture

Architected a metadata-driven Medallion Lakehouse platform on Databricks with Auto Loader and JDBC ingestion, automated data validation rules, Delta Lake upserts via MERGE, and governance managed through Unity Catalog.

System Data Flow:

Data Sources (Files / RDBMS)→Auto Loader / JDBC→Bronze (Raw Delta)→Silver (Cleaned & Validated)→Gold (Business Aggregates)→Databricks SQL / AI-BI

Key Engineering Highlights

Automated ingestion using Auto Loader and JDBC connectors

Bronze, Silver, and Gold Delta Lake tables implementation

Automated data cleansing, schema validation, and deduplication

Business-rule enrichment and dynamic data transformation

Metadata-driven workflows scheduled via Databricks Workflows

Pipeline monitoring, automated error handling, and alert mechanisms

Unity Catalog governance and secret management for secure credentials

Databricks SQL dashboards and AI/BI analytics integrations

Technologies Used

DatabricksPySparkSQLDelta LakeAuto LoaderJDBCUnity CatalogDatabricks WorkflowsDatabricks SQL

Interested in this Pipeline?

I can build similar production-grade Lakehouse or API data ingestion systems for your organization.

Contact Owais Ahmad