Indhumathi Govindarajan

● Created dynamic and interactive Power BI dashboards for Finance, Sales, and Marketing teams, enabling data-driven decision-making. ● Developed Power BI Paginated Reports to track and analyze global KPIs monthly, quarterly, and yearly ● Deployed a cost-effective solution by leveraging M language to integrate with the HubSpot API ● Automated the invoicing process using Power Automate, improving efficiency and reducing manual errors. ● Implemented Azure Logic Apps to efficiently extract large-scale data and load it into Azure Data Lake through optimized looping mechanisms. ● Implemented Power Apps UI for seamless budget entry and automated the Monthly Recurring Billing process for annual clients, streamlining operations ● Deployed Azure Data Factory pipelines to load data from Blob from Azure Data Lake to Azure SQL. ● Performed POC for loading parquet, csv files from Azure Data Lake to Azure Synapse dedicated SQL pool using Azure Data Bricks, Python, Pyspark.

Domain: Finance, Customer Insights, Human Resource, Corporate Services, Marketing ● Managed a team of 6 people for the development and maintenance of executive dashboards, summary reports and ETL pipelines to enable data availability from Dynamics CRM to Power BI via Azure Data Lake. ● Translated business requirements into technical requirements, data analysis, data mapping, collaborated with DWH, ETL and data governance, infra structure and security teams. ● Managed the development of tabular models in SSAS cubes and Power BI and optimized their performance using tools such as VertiPaq analyzer and Dax Studio ● Partnered with stakeholders to identify business needs, gathered requirements, published a project plan, identified resources, conducted status calls to track progress, providing on-time delivery with expected results. Managed development in agile and waterfall model. Key Achievements : 1. Migrated 100+ reports from old source systems to Power BI Cloud 2. Achieved near real time reports refresh of CRM data enabling TAT percentage from 94 to 96. 3. Enabled detailed drill down reports for Complaints and Service Management team to monitor SLA and TAT breakup. 4. Published reports on Power BI Mobile application and increased usability of reports. 5. Trained users to promote Self Service BI for building ad-hoc reports

 Designed tabular data modeling on SSAS cubes for scalability, flexibility  Created and maintained complex workflows with SSIS to process large volumes of data and ensure seamless integration into BI environments.  Used SSIS tools such as Data Flow Tasks, Script Components, and Lookup Transformations to standardize and transform data before it is consumed in reports or dashboards.  Created dashboards for global production, inventory, demand, and supply chain management in source systems  Build trend analysis graphs, various DAX metrics, used time intelligence functions for MTD and YTD, iterator functions, intersections, cross-joins, ranking of various entities, display of percentages and variance  Created segments, visuals, report-level and page-level filters for flexibility, use Top N and relative date filters  Configured bookmarks for various purposes to switch to visuals on demand  Configured the Power BI Gateway server and datasets through the Power BI Gateway.