POWER BI DEVELOPER

Ruchita Jain

Starting at

/hr

About this service

Summary

I offer end-to-end Power BI solutions, from data modeling and DAX calculations to interactive dashboard development and deployment. With 6 years of expertise in SQL, I ensure seamless data integration, optimized performance, and insightful visual storytelling for data-driven decision-making.

What Makes Me Unique?

SQL Mastery – Strong expertise in complex SQL queries, ensuring efficient data extraction and transformation.

Performance Optimization – Focus on building high-performing data models with optimized DAX and query tuning.

Business-Centric Insights – Ability to translate raw data into actionable insights tailored to business needs.

Process

1. Requirement Gathering & Planning

Understand business objectives – Identify key KPIs and insights required.

Identify data sources – Excel, SQL databases, APIs, cloud services, etc.

Define report audience & security needs – Who will use the reports? Apply Row-Level Security (RLS) if needed.

Decide report delivery method – Power BI Desktop, Power BI Service, or embedded in an app.

2. Data Collection & Preparation

Connect to data sources using Power BI (Excel, SQL, APIs, etc.).

Clean and transform data using Power Query (M language).

Handle missing values, duplicates, and data type inconsistencies.

Optimize data structure for efficient querying and performance.

3. Data Modeling & Relationships

Define relationships between tables (Star/Snowflake schema).

Create calculated columns & tables (if necessary) using DAX.

Ensure data integrity with appropriate keys and relationships.

4. DAX Calculations & Measures

Create DAX measures for KPIs like Total Sales, Profit, Growth Rate, YoY comparison, etc.

Use CALCULATE, SUMX, FILTER, and other DAX functions to derive business insights.

Optimize DAX queries for performance and efficiency.

5. Report & Dashboard Creation

Design interactive reports with visual elements like:

Bar/Line Charts, Pie Charts, Maps, Tables, and Custom Visuals.

Add slicers, filters, and drill-through options for dynamic user interaction.

Ensure accessibility and responsiveness for different devices.

6. Performance Optimization

Reduce data size by removing unnecessary columns and tables.

Use aggregations and indexing to speed up queries.

Optimize DAX formulas and avoid heavy calculations in reports.

7. Deployment & Sharing

Publish to Power BI Service (if required).

Set up scheduled data refresh for automated updates.

Implement Row-Level Security (RLS) if different users require different access levels.

Share reports with stakeholders via Power BI Service, Teams, or embedded solutions.

8. Maintenance & Iteration

Monitor data refresh failures and performance issues.

Gather feedback from users and improve dashboard usability.

Add new features or KPIs as business needs evolve.

What's included

1. Power BI Project File (.PBIP)
The final Power BI dashboard file containing all reports, visualizations, and data models. Includes all visualizations, DAX calculations, and data transformations.
2. Interactive Power BI Dashboard
A fully functional and interactive dashboard with: Key Performance Indicators (KPIs) such as sales, revenue, profit, etc. Filters & Slicers for dynamic data exploration. Visualizations, which may include: Bar charts, Line charts, Pie charts, and Maps Tables and matrices Custom visuals (if applicable)
3. Data Model & ETL Documentation
Data Source Details: Excel, SQL, APIs, etc. Data Transformation (Power Query M-code): Steps taken for cleaning and structuring data. Data Relationships & Schema: Entity relationships in the Power BI model.
4. DAX Measures & Calculations Documentation
List of all DAX measures, calculated columns, and tables. Explanation of key business logic and calculations used.
5. Deployment & Sharing Strategy
Publishing the report to Power BI Service. Configuring row-level security (RLS) if required. User access roles & permissions for stakeholders.
6. Data Refresh & Performance Optimization
Scheduled Data Refresh: Configuration for daily/weekly updates. Performance tuning: Optimized DAX queries, efficient data model design.
7. User Guide / Training Material
How-to guide for interacting with reports. Instructions on using filters, slicers, and drill-throughs. FAQ for common issues.
8. Change Log & Version Control
Version history of the Power BI file. Documentation of major changes and updates.