Senait Weldemicheal
Senior Sql Etl Msbi Developer @CVS Health
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WORK HISTORY
Senior Sql Etl Msbi Developer @CVS Health
US
Designed and implemented SSIS packages to automate complex ETL workflows, integrating healthcare data from multiple sources into SQL Server.• Built scalable cloud-based ETL pipelines using Azure Data Factory (ADF) to extract, transform, and load data between on-premise systems and Azure SQL Database.• Automated data validation and transformation using Python scripts embedded within ADF and SQL workflows.• Developed interactive Power BI dashboards and SSRS reports to support pharmacy operations, patient adherence tracking, and cost analysis.• Created parameterized and drill-through SSRS reports using Report Designer and Report Builder.• Optimized T-SQL queries and implemented indexing strategies, reducing report run times by over 30%.• Scheduled and managed automated report delivery via SSRS Subscriptions and Power BI Paginated Reports.• Migrated legacy Crystal Reports and static reports to modern Power BI dashboards, improving usability and adoption.• Collaborated with business users, analysts, and IT teams to gather requirements, define KPIs, and deliver accurate, actionable analytics.• Enforced HIPAA compliance and internal data governance policies by applying strict access controls and secure data handling procedures.• Maintained version control and documentation for BI assets, ensuring consistency and maintainability across reporting environments.
EDUCATION
Bahir Dar University
Bachelor's degree
ABOUT SENAIT WELDEMICHEAL
Results-driven SQL/ETL/MSBI Developer with over 9 years of experience designing and implementing robust ETL solutions using SSIS, SSRS, and SQL Server. Proven expertise in developing Power BI dashboards, writing complex T-SQL queries, and integrating data from diverse sources. Skilled in leveraging Azure Data Factory (ADF) for cloud-based pipeline orchestration and using Python for data automation and transformation. Adept at working in both on-premise and Azure cloud environments to deliver scalable, high-performance data solutions.
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