Design, build, and maintain scalable data pipelines to ingest, process, and store data. Implement robust quality checks and monitoring to ensure data accuracy and reliability.
Write complex SQL queries for extraction, transformation, ad-hoc analysis, and automated reporting. Develop scalable data foundations and models designed to support AI/ML initiatives.
Develop, test, and deploy intelligent agents using Python and the Google ADK framework to automate tasks like data analysis, report generation, and system orchestration.
Partner with senior stakeholders, data scientists, and AI teams to understand complex requirements and architect robust long-term data solutions.
Develop tools to automate data processes, facilitate faster turnarounds, and increase efficiency. Monitor, troubleshoot, and tune data systems and pipelines.