Data Engineer
Current- Extract structured and semi-structured data from vendors via scripting, REST API, email collection, and queries
- Stage and archive data externally and internally using Azure Blob containers, AWS buckets, and Snowflake stages and streams
- Transform data with Python or SQL and load into Snowflake
- Leverage Snowflake's internal stages, external connections, tasks, and processes to load transformed dataand move to production environments for analysis
- Architect and implement new database and schema designs according to business and customer needs
- Create, manage, and delegate roles in a development and production environment to provide seamlessaccess for customers while minimizing unnecessary exposure