Experience must include 24 months of experience involving the following: Developing backend applications using Python, including implementing business logic, refactoring existing codebases, and optimizing application performance; Building RESTful services using Python Flask, including request handling, data validation, and integration with backend data stores; Developing frontend user interfaces using Angular, including component-based UI development and integration with backend APIs; Developing server-side application components using .NET and C#, including API development and backend processing logic; Deploying and maintaining applications in cloud environments, including Pivotal Cloud Foundry (PCF); Google Cloud Platform services, including BigQuery and Cloud Storage, to support data processing and application functionality; and GitHub Copilot to create and maintain repository-level instructions and develop contextual prompts to support application feature development. Design, build and support data processing pipelines to transform and move data across enterprise data platforms, including Google Cloud Platform-based systems, on-premise NAS Drives, Hive, Oracle, MS SQL, Amazon S3 and other data warehouse storage systems.