Parkulam Santosh Sahithya

Analyzed clinical, financial, and operational healthcare data using SQL, Python, Power BI, Snowflake, Epic EHR, and Microsoft Fabric. Built enterprise dashboards (including Copilot-assisted Power BI) and improved reporting efficiency through interactive visualizations. Developed automated ETL/ELT pipelines using Azure Data Factory, dbt, SQL, Snowflake, and HL7 FHIR integrations, reducing manual preparation time. Built predictive analytics models with Python/scikit-learn, Databricks, and SAS to forecast patient admissions and resource utilization. Performed healthcare data profiling, cleansing, and validation to achieve high reporting accuracy while maintaining HIPAA compliance. Collaborated with clinicians, revenue cycle, compliance, and data engineering teams using Agile, Azure DevOps, Git, and Epic tools to deliver secure analytics solutions.

Analyzed EHR/HMIS and patient datasets using SQL, Python, SAS, and Power BI to improve clinical reporting efficiency. Developed automated ETL pipelines with Informatica PowerCenter, Talend, SSIS, and SQL Server, integrating HL7 data while reducing processing time. Built interactive dashboards in Power BI, Tableau, and Excel to monitor patient outcomes and operational KPIs, improving visibility for stakeholders. Conducted healthcare data validation, profiling, and transformation to support regulatory and quality reporting with high accuracy. Used Python/R and advanced SQL with ICD-10 and SNOMED CT for disease pattern and outcomes analysis. Worked with cross-functional teams using Jira, Confluence, Git, Azure DevOps, and Agile Scrum to deliver secure healthcare analytics and support interoperability initiatives.