Highlights:

• SQL, Python, PySpark, Azure, AWS, Microsoft Fabric, ETL, Power BI (DAX).
• Experience building end-to-end data pipelines, automation workflows, and BI reporting dashboards.
• Background across data analytics, data engineering, and cloud migration (Azure + Databricks + Fabric).
• SC cleared with 3.5 years of experience across wealth management, government, and consultancy environments.

Key Impact:

• Built automated Microsoft Fabric data pipelines for financial market datasets, improving reporting accuracy and speed.
• Produced enterprise-level Power BI dashboards covering Revenue, AUM, Fund Performance & Marketing, supporting executive decision-making.
• Redirected legacy SQL scripts and reporting logic to Azure-based systems, ensuring data integrity and continuity.
• Transformed messy financial datasets into structured, compliant, audit-ready outputs supporting operational data, revenue reporting, and risk oversight.