Sanjana Mantri

Client: Murphy Oil Corporation (Onsite & Offshore – 4 Years Total)

• Leading BI initiatives with 4 years of continuous support for Murphy Oil Corp — 3 years offshore (India) and 1 year onsite (USA).
• Driving enterprise-wide Spotfire to Power BI migration projects, ensuring efficient transition and user adoption.
• Designing and executing SQL to Databricks migration strategies, improving data performance, scalability, and accessibility.
• Developing interactive and performance-optimized Power BI dashboards and reports integrated with diverse data sources, including Databricks and SAP HANA.
• Managing and executing Power BI to Microsoft Fabric migrations, enabling modern analytics via lakehouse architecture.
• Automating ETL and reporting workflows using Python, Power Automate, and Power Apps, improving delivery timelines and reducing manual effort.
• Working with SAP HANA data sources to deliver meaningful insights in Spotfire and Power BI visualizations.
• Serving as the Power Platform Admin, managing environments, permissions, and governance for Power BI, Power Automate, and Power Apps.
• Acting as the onsite coordinator, bridging communication between onshore business stakeholders and offshore technical teams.
• Leading business requirement gathering sessions and translating business needs into scalable BI and data solutions.

• Started as an intern specializing in Power BI and SQL, quickly progressing to a senior role through consistent performance and ownership of client deliverables.
• Developed and supported Spotfire dashboards for Murphy Oil Corp, handling complex data visualizations and business reporting needs.
• Built data pipelines by integrating Azure Data Factory (ADF) with Databricks notebooks to enable scalable, cloud-native data transformation workflows for a key client project.
• Collaborated closely with cross-functional teams to deliver BI solutions aligned with evolving business requirements.
• Participated in data modeling, report optimization, and SQL tuning to improve data processing and analytics performance.