Build and maintain scalable, secure data pipelines, models, and platforms that enable analytics teams and AI applications to access trusted enterprise data. Partner with marketing, product, and analytics stakeholders to translate requirements into technical solutions, establish data governance and access controls, and independently deliver projects from design through production. Support AI-driven decision-making while ensuring reliability, compliance, and operational efficiency.

Lead automation and reporting for financial operations: build workflows, create and maintain reports, analyze operational data, troubleshoot pipelines, and partner with SMEs to optimize processes and support operational decision-making.

Design, build, and optimize modular dbt pipelines and technical schemas; translate business requirements into production-grade data models; optimize warehouse performance (Snowflake migration); enforce data quality and security; perform peer code reviews, mentor junior engineers, and adopt AI-assisted dev tools to accelerate testing and code discovery.