- Engage stakeholders directly to gather, clarify, and document project requirements.
- Translate requirements into architected data solutions including storage, pipeline, modeling, and delivery.
- Own end-to-end testing, data quality checks, reconciliation, and integration.
- Deploy solutions to production and monitor post-deployment health.
- Execute AI-first development sessions for pipeline orchestration and maintenance.
- Design and build complex data pipelines from AWS, Azure, Salesforce, and third-party APIs.
- Implement and evolve data models using Kimball methodology.
- Build and support Power BI data models and reports.
- Develop internal data applications and automation tools.
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