•Established data pipelines using Azure Data Factory to automate the extraction, transformation, and loading (ETL) of user engagement data from Moodle to SQL Database. •Configured Azure Blob Storage for secure storage of course materials and user-generated content, ensuring high availability and accessibility. •Utilized Power BI to create interactive dashboards and visual reports analyzing user engagement and course performance metrics, providing actionable insights to improve course effectiveness and student retention. •Identified inefficiencies in course management and user access processes, recommending enhancements that streamlined workflows and improved system usability.

Worked with the Resiliency and Risk Management team on data recovery testing and application profile reviews, automating these processes with a custom UI and BI tools for tracking and insights. I achieved 90% timely completion of APRs through automated email notifications and used Power BI to monitor performance. Additionally, I created and maintained dashboards, updating them with Python and GitHub, and ensured compliance through detailed reporting in Power BI.

Created a scalable data warehouse with Azure Synapse Analytics and Data Lake Storage Gen2, boosting data processing efficiency by 40% with automation. I handled day-to-day database operations, enforced secure access controls, and provided real-time insights through Tableau, managing project progress with Jira.

Automated data cleansing, transformation, and visualization using Alteryx, enhancing data quality by 30% and reducing manual processing time by 60%. I optimized data extraction and flow with Microsoft SSIS and integrated predictive analytics to address data discrepancies, cutting processing time by 40%. I also managed a Git repository for SSIS packages and Alteryx workflows, leveraging CI/CD tools for continuous delivery of BI solutions and predictive models.