
Data Engineer with 10+ years of experience designing and implementing enterprise data warehouses, cloud-native data platforms, and modern data ecosystems across AWS, Azure, Databricks, and Snowflake. Expertise in data architecture, data warehousing, ETL/ELT pipeline development, and dimensional modelling using Star Schema, Snowflake Schema, and Data Vault. Proficient in building scalable, high-performance data solutions using SQL, PySpark, dbt, Airflow, AWS Glue, Redshift, and Power BI to support enterprise reporting, business intelligence, and advanced analytics. Strong experience in data governance, data quality, cloud migration, query optimization, and performance tuning, with a proven track record of delivering end-to-end data engineering solutions for large-scale enterprise environments.