Sunil Ghimire
I’m Sunil Ghimire, a senior data engineering and business intelligence professional with 16+ years of experience designing and modernizing enterprise data platforms, especially on Microsoft SQL Server and T-SQL.
About
I’m Sunil Ghimire, a senior data engineering and business intelligence professional with 16+ years of experience designing and modernizing enterprise data platforms, especially on Microsoft SQL Server and T-SQL. I build governed, production-grade data pipelines and trusted analytics layers that help organizations move from fragmented reporting to consistent, faster insights.
I enjoy translating complex operational requirements into scalable data models and ETL/ELT workflows, partnering closely with business stakeholders, and mentoring teams. Recently, I’ve supported government-wide reporting modernization by implementing layered data warehouse architectures, dimensional modeling, semantic measures, and cloud modernization efforts using Microsoft Fabric, SSIS, Power BI, and dbt-based transformations.
- 15 years' experience
- Joined November 2026
Industry experience
- Government
- Professional Services
Work experience· 5 roles
Architected and implemented a centralized enterprise SQL Server data warehouse using bronze/silver/gold layers to consolidate operational and financial reporting. Modernized fragmented reporting dependent on MS Access and Oracle extracts into governed SQL Server, SSIS, SSAS Tabular, Power BI, and SSRS solutions for 1,400+ users. Developed and optimized T-SQL transformations, views, and stored procedures, improving query performance and reducing reporting effort. Designed dimensional star schemas, shared dimensions, and standardized DAX measures; built metadata-driven SSIS/Python routines with validation, reconciliation, and troubleshooting. Mentored data analysts and coordinated development using Azure DevOps. Led modernization initiatives using Microsoft Fabric Lakehouse/Warehouse/OneLake, pipelines, semantic models, and dbt-based production transformations and testing.
Built and maintained Oracle, Microsoft Access, and Excel-based operational reports for caseload, service-delivery, and program performance analysis. Led requirements discovery and KPI definition for corporate reporting to support a foundation for centralized data warehousing and standardized measures. Performed ad hoc SQL analyses, reconciled datasets, and collaborated with stakeholders to improve accuracy and usability of reporting.
Designed Talend data pipelines for digital marketing data (Google Analytics, Facebook, and related sources). Optimized Amazon Redshift data warehouse processing, improving pipeline performance by ~40%, and supported Jaspersoft analytics for 100+ users. Worked with cross-functional stakeholders to improve reliability, scalability, and usability of analytics datasets.
Education
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