Data Forge — a modern data stack playground to practice flows and best practices, not just tools. Spark, Trino, Kafka, Iceberg, ClickHouse, Airflow, MinIO, Superset — all wired together locally with Docker Compose.
Building a modern data warehouse with Microsoft SQL Server, including ETL processes with Bronze Layer, Silver Layer and the Gold Layer, data modeling and as well as analytics.
Macro-aware, explainable equity analytics system using Bronze–Silver–Gold architecture. Built with Python, SQLite (CTEs & Window Functions), and Power BI for structured stock intelligence.
📚 An End-to-End Advanced SQL Project covering Data Warehousing, ETL Pipeline (Bronze → Silver → Gold), Star Schema Modeling, EDA, and Advanced SQL Analytics. Built using PostgreSQL, this project simulates a real-world Data Engineering + Data Analytics workflow using raw ERP & CRM data to generate production-ready customer and product insights.
End-to-end Azure Databricks retail data engineering project using Medallion Architecture (Bronze, Silver, Gold). Implements Auto Loader, Unity Catalog, Delta Lake, SCD Type 1 & 2 dimensions, and Fact Orders for analytics-ready star schema modeling.
Data Warehouse project using MySQL with layered architecture (Bronze–Silver–Gold) and star schema modeling
Data Engineering portfolio showcasing batch pipelines, Data Lake architecture (Bronze/Silver/Gold), robust ingestion, analytical modeling and production-oriented practices.
End-to-end data engineering project using Microsoft SQL Server. Implements a layered data warehouse (Bronze, Silver, Gold) with SQL-based ETL, data cleaning, and star schema modeling from CRM and ERP sources, optimized for analytics and reporting.
Building a data warehouse project - sqlserver-v1 ← SQL Server Implementation & snowflake - v2 ← Snowflake Implementation
Production-grade Medallion architecture data platform for reliable ingestion, transformation, and analytics/ML-ready datasets at scale.
A production-style ELT data pipeline built on Databricks using Auto Loader, Delta Live Tables (DLT), CDC-based Silver models, and dynamic Gold-layer dimension & fact tables designed for analytics and dbt-based transformations.
Modular PostgreSQL star schema for IIoT telemetry using the Bronze–Silver–Gold layers: RAW → normalized signals → metrics/KPIs + alerts.
AI-powered Bronze→Silver→Gold data engineering pipeline. Upload any CSV, get real PySpark & SQL transformations, KPIs, charts, and production pipeline code — powered by Claude AI.
A comprehensive data platform using modern architecture with orchestration, ingestion, transformation, and visualization.
End-to-end Snowflake Data Engineering project demonstrating real-time ingestion, CDC with Streams, automated Tasks, data quality pipelines, and Gold layer analytics for enterprise-scale retail analytics.
Lakehouse-style data pipeline using PySpark and layered architecture
A Snowflake data warehouse project implementing the Medallion architecture to ingest, clean, and model simulated business data into a star schema.
End-to-end cafeteria analytics solution using a data warehouse architecture and Power BI dashboards to optimize demand forecasting, menu planning and operational efficiency.
Real-time social media engagement pipeline using Kafka, Spark Structured Streaming, and Delta Lake with Medallion Architecture for feed personalization analytics
Add a description, image, and links to the bronze-silver-gold topic page so that developers can more easily learn about it.
To associate your repository with the bronze-silver-gold topic, visit your repo's landing page and select "manage topics."