Data Warehouse

Bronze → Silver → Gold layered Data Warehouse with Git & GitHub integration

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PROJECT ROLE

DATA ENGINEER / ARCHITECT

This project implements a layered Data Warehouse architecture (Bronze → Silver → Gold) to support reliable analytics and reporting. It emphasizes reproducible pipelines, data quality, and version-controlled infrastructure via Git & GitHub.

KEY RESPONSIBILITIES:
  • Designing Bronze/Silver/Gold data layers and ingestion patterns
  • Implementing ETL/ELT pipelines and transformation logic
  • Data modeling for analytics-ready schemas (star)
  • Ensuring data quality, lineage, and governance
  • Integrating pipelines with Git/GitHub for version control and CI/CD
DOCUMENTATION
Project Documentation
Bronze Layer

BRONZE LAYER

Raw data ingestion from sources: logs, APIs, and databases

KEY FEATURES

BRONZE / RAW STORE

Durable raw data storage capturing original payloads and schema versions for reproducibility and auditing.

SILVER / TRANSFORM

Validated and standardized datasets with applied transformations, deduplication, and enrichment processes.

GOLD / ANALYTICS

Curated tables and aggregates optimized for BI tools, dashboards, and machine learning consumption.

GIT & GITHUB

All pipeline code, SQL, and infra-as-code kept under version control with PR-based collaboration and CI workflows.

DATA GOVERNANCE

Lineage, quality checks, access controls, and documentation to ensure data trustworthiness and compliance.