Teams at Gemini

Build and own customer-facing platform tooling across backend, web, and mobile for onboarding, compliance, and support. Ship end-to-end features, operate DevOps lifecycle, use AI-assisted/agentic development, mentor engineers, conduct code reviews, and drive ambiguous cross-team problems to resolution.

Design, build, and operate scalable batch and real-time data pipelines and infrastructure. Own end-to-end data products, establish observability and data quality, troubleshoot production issues, document architectures and runbooks, and partner with analytics, ML, and product teams to deliver reliable, self-serve data solutions.

Design and implement scalable dimensional data models, data transformation pipelines, and BI solutions. Partner with product, engineering, and business stakeholders to translate requirements into trusted datasets, perform analysis and root-cause investigations, build automated data quality and validation frameworks, optimize SQL and transformations, and document data assets and processes.