Monish Pilla

A results-driven Power BI Developer with over 7 years of experience in creating interactive reports and data visualizations, leveraging advanced analytical solutions to drive business insights.

• Power BI Expertise: Proficient in Power BI Desktop, Power BI Mobile, and Power BI Service, specializing in developing dynamic dashboards, detailed reports, and data visualizations.
• Report Development & Coordination: Skilled in preparing and consolidating daily, weekly, monthly, and quarterly reports, ensuring data accuracy and timely delivery from various applications.
• Advanced Data Visualization: Expertise in creating interactive visualizations such as Slicers, Line, Map, Scatter, Bullet, Heat Maps, Waterfall, Donut, and Treemaps to provide clear insights and trends.
• Data Integration & Transformation: Experienced in importing data from multiple sources, establishing relationships, and creating calculated columns and measures using DAX for enhanced data analysis.
• Custom Report Design: Proficient in designing tailored report templates and visualizations (bar charts, graphs, pie charts) to deliver actionable insights based on business data.
• Data Modeling: Skilled in building scalable data models through the creation of measures, hierarchies, and relationships in Power BI.
• Report Deployment & Scheduling: Competent in developing, publishing, and scheduling Power BI reports that align with business needs and requirements.
• SQL Expertise: Hands-on experience with SQL for data extraction, transformation, and reporting.
• DAX Functions: Strong in utilizing DAX functions to enhance report logic, interactivity, and data analysis capabilities.
• Client Collaboration: Regularly interact with clients to gather requirements and deliver tailored reporting solutions.
• Database & Schema Knowledge: Familiar with Star Schema, Snowflake Schema, Facts & Dimensions, enabling efficient data organization for analysis.
• Cloud Computing & Azure: Solid experience with Azure services, including Azure Storage, Azure Data Lake Storage, Azure SQL Database, and Azure Data Factory for seamless data integration and management.
• Data Cleaning & Quality: Proficient in data cleaning, transforming variables, addressing missing values, and ensuring data quality, consistency, and integrity using Azure Data Factory (ADF).