- Design, build, and optimize scalable data solutions using Microsoft Fabric, Azure, and modern cloud data platform technologies.
- Partner with business and technical stakeholders to gather requirements and translate them into technical designs, data models, and implementation plans.
- Develop and maintain Fabric Data Factory pipelines, dataflows, notebooks, and orchestration processes for reliable data ingestion and transformation.
- Build and support Lakehouse architectures leveraging Bronze, Silver, and Gold (Medallion) layers to improve data quality, governance, and analytics readiness.
- Develop ELT/ETL solutions using SQL, PySpark, Python, and Fabric notebooks to transform and enrich enterprise data.
- Create and optimize data models that support reporting, self-service analytics, AI, and machine learning initiatives.
- Support migrations from legacy data platforms, on-premises databases, and third-party systems into Microsoft Fabric and Azure data services.
- Implement data quality, monitoring, security, and governance practices that align with enterprise standards.
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