Sai Kiran

Data Analyst @Centene Corporation

Led a data-driven initiative that systematically optimized the claims processing workflow at centene, achieving a notable 15% reduction in processing time by identifying and addressing bottlenecks in the existing process. • Designed and implemented ETL pipelines using Azure Data Factory to ingest, transform, and load healthcare data from multiple sources (e.g, EHRs, claims data) into a centralized data warehouse, enhancing data accessibility for clinical analytics. • Employed Python scripting to automate reporting processes, streamlining data compilation and report generation, leading to a 20% reduction in reporting time and improved reporting consistency. • Utilized Azure Data Factory to automate the extraction, transformation, and loading (ETL) of large-scale healthcare data, reducing manual intervention by 30% and ensuring timely data availability for reporting and analytics. • Proficiently employed SQL Server to manage and manipulate extensive datasets comprising millions of healthcare claims, ensuring efficient data retrieval and transformation for analysis. • Set up monitoring and logging for Azure Data Factory pipelines to ensure data pipeline reliability, detecting data anomalies in healthcare claims data early and reducing downtime by 15%. • Leveraged Tableau to create dynamic and interactive visualizations, enabling stakeholders to visually explore claims trends and intuitively recognize operational inefficiencies. • Merged deep healthcare domain knowledge with technical expertise to develop tailored solutions that catered to the unique challenges and intricacies of healthcare claims process.