• Contributed to a data migration project by applying an Extract, Load, Transform (ELT) approach, efficiently integrating and trans- forming data using advanced tools such as Azure Data Factory, Oracle Database, Snowflake Database, and Coalesce. This strategy ensured seamless data transfer across diverse platforms.

• Developed / monitored sophisticated data pipelines using Azure Data Factory and Coalesce, including automating flows to enhance efficiency. Applied advanced problem-solving and adapted to optimizing data flows within a fast-paced development environment.

• Performed database management within Snowflake and conducted extensive data validation, ensuring high data integrity and con-

tributing to the overall efficiency of the data migration project. Excelled in applying best practices for data storage, retrieval, and validation to ensure optimal data quality.

• Utilized a test-driven development process to gain a thorough understanding of the Magic Polygon app development with Django framework and provided a reliable / consistent method of testing to verify the functionality of new features, with a specific focus on the backend REST Application Programming Interface (API).

• Conducted unit-testing to identify unfiltered conditions and ensure proper mapping of endpoints with developer's code. This step helped to uncover any bugs or inconsistencies in the code and address them before they could cause issues in the future.

• Developed test cases on existing software to identify and correct mistakes and improve overall workflow on the application's back- end, resulting in a more polished and user-friendly experience on the frontend.