- Design, build, test, deploy, and maintain scalable ELT/ETL pipelines that ingest and transform data from enterprise applications.
- Develop high-quality Snowflake data models, schemas, and reusable data engineering components.
- Build and maintain data integration and orchestration workflows using Windmill.
- Implement secure cloud engineering solutions within the Microsoft Azure ecosystem.
- Enforce data quality, governance, and observability through automated testing, validation, and monitoring.
- Utilize AI-assisted software development tools to improve engineering productivity and code quality.
- Collaborate with stakeholders to translate data requirements into reliable technical solutions.
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