Data Engineer with Python, SQL, and Cloud Data Platform Expertise

Data Engineer – Python, SQL, DBT

Strong experience in Python, SQL, and DBT. Experience with Snowflake data platform. Strong understanding of Data Warehousing and ETL concepts. Exposure to data modeling and performance optimization. Airflow, Azure Data Factory, AWS, or GCP. Snowflake certification. CI/CD and DevOps practices for data engineering. Develop ETL/ELT data pipelines using Python and SQL. Build and maintain DBT transformation models. Design and optimize Snowflake-based data solutions. Ensure data quality, validation, and governance. Support cloud-based analytics and reporting initiatives.