Control and Automation Engineer with a Post-Graduate degree in BI & Analytics and currently pursuing an MBA in Data Engineering. Focused on building scalable data solutions and high-performance pipeline optimization.
Impact & Deliverables
- Performance Optimization: Led pipeline refactoring projects resulting in a 90% reduction in processing time.
- Applied Software Engineering: Implemented Git, versioning, and CI/CD practices within analytical environments to ensure reliability and scalability.
- End-to-End Analytics: Expertise in advanced dimensional modeling, semantic layer architecture, and executive-level dashboard delivery.
- Scalable Architecture: Development of clean architectures and query optimization geared toward consistent data growth and business adoption.
Technical Stack
- Languages: Advanced SQL, Python (Pandas/PySpark), DAX, M.
- BI & Data: Power BI, Power Query, API Integration.
- Engineering: Dimensional Modeling (Star Schema), Git Flow, ETL/ELT Automation.