Built by an Engineer. Designed for Real Careers.
DataForge exists to close the gap between surface-level learning and real production-level capability.
Why DataForge Exists
Most online programs teach tools. Very few teach systems.
In real companies, data teams don’t just write SQL queries — they design scalable pipelines, architect warehouses, integrate APIs and optimize performance.
DataForge was built to teach how real systems work — not just how tools function.
Engineering-First Philosophy
Architecture Over Tutorials
Learn how systems are designed end-to-end — not just isolated features.
Production Thinking
Understand scalability, performance, cost and deployment — the way real engineers do.
Career Acceleration
Programs structured around interviews, real project discussions and practical application.
Founder Background
- • 10+ Years Engineering Experience
- • Cloud-Native System Design
- • BigQuery & Modern Data Stack
- • AI Integration & Automation
- • Enterprise-Scale Architecture
Built From Real Experience
DataForge is not based on theory. It is built from years of hands-on engineering, working with cloud infrastructure, modern data platforms and AI-powered systems.
The goal is simple: teach what actually matters in real production environments.
The Long-Term Vision
Build a structured, engineering-driven platform that produces professionals who think in systems — not just tools.
DataForge aims to become a serious career acceleration platform in Data, Cloud and AI.