Description

• Design and implement enterprise-grade data models (logical & physical), define standards, support Snowflake architecture, and optimize data structures for performance and scalability.
• Conduct impact analysis and ensure model alignment with business needs.
• Engineered scalable ER models (Conceptual, Logical, Physical) for enterprise-grade data platforms
• Designed high-performance Data Warehouse schemas (Star & Snowflake) for analytics optimization
• Specialized in Dimensional Modelling (Kimball) and Data Vault 2.0 architecture
• Developed optimized Fact & Dimension tables to support large-scale reporting and BI workloads
• Leveraged Snowflake expertise for data modelling, clustering, and performance tuning
• Utilized advanced SQL for complex transformations, validations, and query optimization
• Partnered with ETL teams to architect efficient, scalable data pipelines
• Ensured data integrity, governance, quality, and robust metadata management
• Translated complex business requirements into scalable, future-ready data models
• Built end-to-end Data Warehouse architecture (Staging → Core → Presentation/BI layers)

Key Skills

Education

Bachelor's degree