- Experience in Data Engineering, with a robust focus on Azure Data & Analytics services (e.g., Azure Synapse, Data Factory, Azure SQL, ADLS Gen2).
- Hands-on experience with Databricks, including Python and SQL for data processing and analytics.
- Strong expertise in Data Warehousing, Data Modeling, and ETL/ELT pipeline development.
- Advanced proficiency in Python, SQL, and PowerShell for data engineering and automation.
- Familiarity with Microsoft Fabric and KQL is highly desirable.
- Proven experience in Data Engineering Architecture design and optimization.