Data Preparation: Cleanse, shape, and integrate data from multiple sources.Data Transformation: Apply transformations such as pivot, split, join, and calculations to prepare data for visualization.Data Profiling: Analyze data quality and identify anomalies or inconsistencies that require cleansing or enrichment.Workflow Automation: Create reusable data preparation workflows to streamline processes.Visualization Development: Create interactive dashboards, detailed reports, and data visualizations to support business insights and decision-making.Dashboard Design: Design intuitive user interfaces with effective use of filters, parameters, and actions for enhanced user experience.Performance Optimization: Optimize dashboard performance by leveraging Tableau best practices and optimizing queries.Server Administration: Manage user permissions, schedules, and data source connections in Tableau Server to ensure secure and reliable access to reports and dashboards.SQL Query Development: Write efficient SQL queries to extract and manipulate data as required by business users.Integration with Tableau: Connect Tableau to SQL Server to leverage these queries directly within Tableau dashboards and reports.Data Analysis: Perform in-depth data analysis using SQL to uncover insights that drive business decisions.

Collect Requirements: Work closely with business users to understand their needs. Document these requirements clearly to guide your report development.Tableau Development: Use Tableau to create visualizations such as line charts for trend analysis, pie charts for distribution analysis, and detailed reports with filtering options for drill-down capabilities.Iterative Development: Share prototypes or early versions of reports with stakeholders for feedback. Iterate based on their input to ensure the reports meet their needs effectively.ETL Design: Map out the data flow from source systems to Tableau. Define transformations needed to prepare data for reporting purposes.Implementation: Use Tableau Prep or Power Query to build ETL workflows. Test these workflows rigorously to ensure data integrity and accuracy.Adaptation to Changes: Be ready to modify ETL processes as new data sources are added or existing ones change. Flexibility is key in handling evolving business needs.

- Creating reports, developing DAX queries, modelling and creating advanced Power BI Dashboard.- Grouping, cleaning, developing M-function and combining data from multiple data sources using power query.