• Utilized advanced Tableau functionalities to create interactive dashboards and visualizations, effectively communicating insights derived from complex data analysis to clients.• Employed Python scripting for data preprocessing tasks, ensuring data quality and consistency before ingestion into Tableau and Power BI.• Leveraged Tableau's integration with T-SQL for seamless data extraction, transformation, and loading (ETL) processes, optimizing data workflows.• Collaborated with stakeholders to define key performance indicators (KPIs) and develop customized dashboards in Tableau and Power BI, aligning with business objectives.• Conducted in-depth data analysis using T-SQL stored procedures, applying optimization techniques to enhance query performance and system efficiency.• Implemented best practices in SQL query optimization, resulting in a 40% improvement in system performance and responsiveness.• Utilized Tableau's advanced analytics features, such as predictive modeling and trend analysis, to identify patterns and insights for informed decision-making.• Integrated Power BI with Azure services for seamless data migration and transformation, ensuring minimal disruption to business operations.• Applied Python libraries like Pandas and NumPy for data manipulation and statistical analysis, enhancing the capabilities of Tableau and Power BI visualizations.• Facilitated the migration of datasets from Azure and Amazon Athena to Google BigQuery, configuring data pipelines and ensuring data integrity throughout the process.

Technical Stack: Tableau, Hadoop eco system, Data Analysis- Worked upon the data collection, cleansing, and analysis of financial data. Created reports and dashboards using Tableau.- Worked upon the feasibility study of the Hadoop ecosystem to manage the existing data from the database.