Unnith Krishna Gattewar Email and Phone Number

■ Performed data cleaning, transformation, and integration tasks to ensure data accuracy and consistency, using tools such as SQL and ETL processes.■Conducted advanced training sessions for end-users and created comprehensive documentation for Power BI solutions, empowering users to leverage the full potential of reports and dashboards.■ Led Power BI projects from inception to completion, overseeing project teams, timelines, and budgets to ensure successful project delivery.■ Assisted in creating and maintaining data models, including star and snowflake schemas, to facilitate efficient reporting and analytics.■ Generated standard and ad-hoc reports, making sure they met business requirements and were delivered on time to stakeholders.■ Assisted in implementing data governance practices, including data access controls, data lineage, and data quality checks, to maintain data integrity.■ Analyzed historical and current data trends to provide insights and recommendations for business improvements.■ Provided support to senior BI developers in managing and executing BI projects, assisting in project planning and execution.■ Utilized Snowflake's advanced analytics features, such as window functions and user-defined functions, to deliver sophisticated insights and predictive analytics.■ Enforced data modeling standards and best practices to ensure consistency and maintainability of data models.■ Designed data models for data warehousing solutions, optimizing structures for reporting and analytics needs.

■ Developed and maintained data pipelines to automate repetitive data extraction and transformation tasks, reducing manual effort by 20%.■ Managed Azure Active Directory, implementing role-based access control (RBAC), single sign-on (SSO), and multi-factor authentication (MFA) to secure access to Azure resources.■ Collaborated with cross-functional teams to define data requirements and ensure data quality and accuracy.■ Participated in regular team meetings to discuss project progress, share insights, and align on data analysis goals.■ Collaborated with the IT department to optimize data storage and access, enhancing overall data infrastructure.■ Supported senior data analysts in ad-hoc analysis and reporting requests to meet business needs.■ Regularly monitored cloud infrastructure and data pipelines, analyzing data logs and metrics to ensure the health and performance of cloud-based services.■ Diagnosed and resolved data-related issues, collaborating with cross-functional teams and vendors as necessary to ensure minimal disruption to operations.■ Implemented monitoring and alerting solutions using Azure Monitor and Azure Security Center to proactively identify and address potential issues.■ Monitored Azure resource usage and costs, optimizing resource allocation to control expenses and avoid unnecessary spending.