About
1. Course Overview The Data Analyst → Data Engineer / Developer Bridge Program is designed for experienced Data Analysts who want to transition into Data Engineering, Analytics Engineering, or Data Platform Developer roles. This program focuses on closing the skill gap between: - Reporting & dashboarding AND - Data pipelines, infrastructure, cloud platforms, and scalable systems You will move from descriptive analytics to building production-ready data systems that power analytics, machine learning, and enterprise reporting. This is a practical, applied, production-focused engineering program — not purely conceptual. 2. Who This Course Is For - Intermediate or Senior Data Analysts - BI Developers with strong SQL - Analysts transitioning into engineering roles - Professionals preparing for Data Engineer positions - Analytics professionals expanding into cloud & pipeline development 3. Course Outcomes (What You Will Gain) By the end of this program, participants will be able to: ✅ Design batch and streaming data pipelines ✅ Build ETL & ELT workflows ✅ Develop scalable data warehouse architectures ✅ Work with cloud-based data platforms ✅ Implement workflow orchestration ✅ Apply data quality & validation frameworks ✅ Optimize SQL for performance at scale ✅ Deploy production-ready data solutions ✅ Understand infrastructure & DevOps basics ✅ Build a portfolio-ready data engineering project 4. Skills You Will Develop - Advanced SQL optimization - Python for pipeline development - ETL & ELT architecture - Data warehouse design - Cloud storage & compute fundamentals - Workflow orchestration - Data quality & governance - Basic DevOps for data - Infrastructure thinking - System design for data platforms 5. Course Structure & Duration - Total Duration: 14 Weeks - Total Learning Hours: ~130–150 hours - Format: Live + Engineering Labs + Pipeline Workshops + Capstone - Weekly Commitment: 8–12 hours
You can also join this program via the mobile app. Go to the app