Data Modeler EngineerDesign 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 Modeling (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 modeling, 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)