Having around 3 years 9 months of experience as Snowflake Data Warehousing development.Expert in designing, developing, and optimizing Snowflake data architectures for efficient data management. Proficient in creating and managing Snowflake objects such as databases, schemas, tables, views, and stages to support data operations.Skilled in building data pipelines using Snowpipe for continuous data ingestion and transformation from AWS S3. Developed and maintained ETL processes to load structured and semi-structured data into Snowflake, ensuring data accuracy and consistencyImplemented advanced Snowflake features like zero-copy cloning, time travel, and fail-safe to enhance data recovery and backup strategies. Optimized query performance and storage efficiency by designing appropriate partitioning, clustering, and indexing strategies. Ensured data security and compliance by implementing row-level security, dynamic data masking, and secure data sharing. Collaborated with cross-functional teams to gather requirements, design data solutions, and deliver high-quality data products.Experience in understanding business application, business data flow and relations from them. Having good communication, interpersonal, problem solving, organizational, analytical skills and quick learning skills..