Data QA Professional

8+ years of experience in data engineering or a related field.

• Strong expertise in Snowflake including schema design, performance tuning, and security.
• Proficiency in Python for data manipulation and automation.
• Solid understanding of data modeling concepts (star/snowflake schema, normalization, etc.).
• Experience with DBT for data transformation and documentation.
• Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, Prefect).
• Strong SQL skills and experience with large-scale data sets.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and data services.