Shivani Murukannaiah

I've delivered cloud data engineering, integration, and BI solutions at Accenture, Mastercard, and UConn Health, turning multi-source business, healthcare, research, and operational data into validated analytical datasets.

At UConn Health, I build SQL and Python ingestion and transformation workflows, reusable data-quality checks, and optimized Power BI reporting models. My dashboards for workload, quality, utilization, and outcome analytics improved reporting efficiency by approximately 40%.

At Mastercard, I engineered SQL and Python workflows supporting enterprise initiatives above $100M, automated validation and refresh processes, and reduced turnaround time by 35%. At Accenture, I delivered scalable Azure Data Factory and Databricks pipelines across 8+ engagements and strengthened production reliability through observability across 47 tracked runs.

I enjoy translating ambiguous requirements into maintainable, secure data products through dimensional modeling, governance, documentation, performance tuning, and clear collaboration with technical and business stakeholders.