Senior Power BI Developer Resume – 6 Years Experience -SQL – Tableau- Alteryx – Snowflake- PL-300 Certified

Senior Power BI Developer Resume – 6 Years Experience -SQL – Tableau- Alteryx – Snowflake- PL-300 Certified

A Senior Business Intelligence professional with 6 years of experience specializing in Power BI, SQL, Tableau, Alteryx, and Snowflake for data visualization, reporting, and analytics. Proficient in developing Power BI reports and dashboards by integrating data from various sources including databases, Excel files, CSV files, and OLAP cubes. Microsoft Certified: Power BI Data Analyst Associate (PL-300).

Technical Skills:

BI Tools:

• Power BI (PL-300 Certified), Tableau, Power BI Report Builder, Microsoft Fabric

Databases:

• SQL Server, Oracle, Excel

Cloud Databases:

• Snowflake, Azure Data Bricks, Redshift

ETL Tools:

• SSIS, Alteryx

Core Competencies:

• Power BI Desktop, Power Query, Power BI Service, DAX

• Advanced DAX: CALCULATE, FILTER, LOGICAL, ITERATOR, ALLSELECTED, TOTAL YTD, QTD, MTD

• Power Query transformations: Derive Column, Conditional Split, Aggregate, Merge Join, Lookup, Custom Sort, Execute SQL Task

• Row-Level Security (RLS) implementation

• Data Warehouse concepts: Star and Snowflake schema, Facts and Dimensions

• Bookmarks and Slicers for navigation

• Complex SQL queries: joins, subqueries, CTEs, views, indexes

• Tableau: worksheets, dashboards, stories, extracts, filters, parameters, LODs, table calculations

• Power BI Paginated Reports

• Alteryx data integration workflows

• MSBI and Agile methodologies

Key Projects & Responsibilities:

Project: Healthcare Insurance Analytics
Health insurance provider offering medical coverage and related services to individuals, families, and employers.

Roles & Responsibilities:

• Designed and developed interactive dashboards including Demographics and Premium Forecasting, Geographic View of Payout, and Claimant Correlation & Fraud Analysis to analyze health insurance data across Monthly, Quarterly, and Yearly levels

• Developed interactive bar charts comparing Total Paid, Total Costs, and Proposed Costs across time hierarchies, enabling trend analysis and variance tracking

• Optimized data models using star schema design, improved DAX performance using variables, and reduced report load time for large insurance datasets

• Conducted performance tuning for large insurance datasets by optimizing DAX measures, reducing unnecessary columns, and implementing aggregation tables where needed

• Applied conditional formatting and KPI indicators in dashboards to highlight abnormal trends, high-value claims, and potential areas of concern

• Designed scatter plots to analyze Average Claim vs Average Paid, identifying payment discrepancies and improving financial visibility

• Published dashboards to Power BI Service, configured scheduled refresh, and collaborated with stakeholders for enhancements and production support

• Migrated dashboards from non-production to production environments and conducted unit testing to ensure report accuracy

Project: Headwear Brand – Sales & Inventory Analytics
A global headwear brand specializing in caps and hats for major sports leagues and fashion brands worldwide.

Roles & Responsibilities:

• Designed and developed Power BI reports utilizing table and matrix visuals to meet business reporting needs

• Increased inventory and sales efficiency by 15% , reducing overstock and stockouts through actionable data-driven insights

• Developed interactive dashboards tracking sales, inventory, and performance for products across retail stores and e-commerce channels, enabling comprehensive product visibility

• Converted and validated legacy report logic to ensure data accuracy and consistency

• Migrated legacy reports to Power BI using live connections in alignment with client requirements

• Implemented all business calculations and logic within the semantic layer

• Conducted unit testing to validate report design, functionality, and data accuracy prior to handoff to QA teams

• Developed Power BI Paginated Reports to address data volume limitations and meet specific client reporting requirements

• Configured and managed automatic and scheduled data refreshes in the Power BI Service

• Analyzed business requirements and collaborated closely with managers and technical leads

• Extensive knowledge in all phases of SDLC and methodologies including Agile and Scrum

Project: Banking & Finance – Customer Analytics

Roles & Responsibilities:

• Requirement gathering from clients and developing dashboards in Tableau Desktop and publishing to Tableau Server

• Designed and developed interactive Tableau dashboards and scorecards to track customer KPIs, transaction trends, operational metrics, and performance indicators

• Implemented Row-Level Security (RLS) to restrict sensitive banking data based on user roles

• Added refresh button for dashboards to reset all filters to default at dashboard level

• Performed validations, unit testing, SIT, UAT, and publishing into respective environments

• Created Tableau scorecards and dashboards using stack bars, bar graphs, scattered plots, Gantt charts

• Built dashboards with drill-down capabilities, global filters, parameters, and sets

• Created Tableau extracts, refreshed extracts, managed Tableau connectors (Live and Extract), formatting, and report operations (sorting, filtering, ranking, Top N Analysis)

• Optimized dashboards by reducing size and improving performance

• Extracted data from SQL Server, published to Tableau Server, and developed reports in Tableau Desktop

• Handled Tableau Server Admin activities: creating users, permissions, roles, schedules, alerts, and publishing workbooks

Project: Healthcare – Medical Practice Management

Roles & Responsibilities:

• Worked closely with healthcare stakeholders to gather requirements related to patient data, provider performance, and operational KPIs

• Utilized Power Query to efficiently clean and transform raw data, while employing advanced DAX formulas to derive meaningful insights

• Implemented bar charts to identify top problem-causing metrics on overall health conditions

• Implemented Row-Level Security (RLS) to restrict data access based on user roles and regions

• Developed various views, dashboards, and customized dashboards in Power BI

• Migrated content from non-production workspace to production workspace

• Implemented time-intelligence calculations (YOY, MOM, YTD, QTD, MTD) for patient and operational trend analysis

• Performed data validation and quality checks to guarantee reliable and actionable insights

• Used trend lines, reference lines, and drop lines to describe data

Ideal For:

• Full-time Senior Power BI / BI Developer roles

• Healthcare, insurance, retail, and banking/finance domains

• Data visualization and dashboarding projects

• Cloud data platforms (Snowflake, Azure Data Bricks, Redshift)

• Remote or India-based opportunities

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