I’m a Data Engineer with 3+ years of experience designing and building scalable data pipelines across cloud platforms. I’ve worked extensively with AWS (Glue, S3, Redshift, Athena), Snowflake, and SnapLogic on large-scale data migration, integration, and transformation projects involving structured and semi-structured sources such as PostgreSQL, DynamoDB, Teradata, and Oracle. In my current role, I focus on developing analytics-ready data models on Snowflake, including fact and dimension tables using star schema, and managing data across Bronze, Silver, and Gold layers. I use Apache Airflow and Snowpipe to automate and orchestrate ETL workflows, and leverage Python and SQL for transformation, validation, and performance optimization. My experience also includes building metadata-driven pipelines, implementing CDC, performing data quality checks, and optimizing pipeline performance to reduce cost and resource usage. I work closely with analytics teams to enable KPI and funnel metric dashboards, ensuring reliable and timely data delivery for business insights.