Demonstrated Expertise architecting, developing, and implementing enterprise Cloud-based data pipeline solutions for databases -- Snowflake, AWS Cloud, Oracle, Postgres, and Hadoop; automating and scheduling end-to-end data pipelines using Control-M and AWS Event Bridge; writing SQL scripts to load enterprise warehouses for analytics data preparation using Snowflake and Python; deploying data pipelines, using DevOps Continuous Integration and Continuous Delivery methodologies (CI/CD), Maven, Git, and Jenkins; performing data warehousing, extraction, and transformation, using Snowflake and Oracle; and analyzing logs with Splunk and Datadog. Or, alternatively, Master’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Full Stack Engineering (or closely related occupation) designing, developing, and delivering analytics applications in an Agile and financial services environment using AWS, Snowflake, Oracle, and Python.