Data Engineer
Current- Developed and deployed a robust, scalable data pipeline in Python and SQL to ingest and transform data from over 1,000 respondents via the SurveyMonkey API, integrating seamlessly with a SQL Server data warehouse. Leveraged REST APIs, SQL, and software engineering best practices to streamline data flow, enabling the Business Analytics team to access faster, reliable insights.- Enhanced SQL data pipelines through advanced SQL development and in-depth data warehouse analysis across 8 tasks, optimizing data workflows and significantly increasing process efficiency.- Led code integration and deployment processes as Build Engineer, managing version control, orchestrating code merges, and deploying builds to SIT, UAT, and production environments through 8 release cycles. Enhanced CI/CD pipeline workflows to ensure efficient and reliable code delivery, leveraging best practices in source control, automation, and release management.- Collaborated with cross-functional teams in an Agile environment, using Azure DevOps to manage sprints, track progress, and ensure alignment on project goals.