Automate Multi-Source Reporting with PySpark & Power BI

Automate Multi-Source Reporting with PySpark & Power BIAutomate Multi-Source Reporting with PySpark & Power BI

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Muhammad Ubaid Ullah Usman

• Feb 21

Extraction & Cleaning: PySpark notebooks pulled and preprocessed data from APIs and files. Orchestration: Microsoft Fabric Pipelines automated workflows, handled dependencies, and monitored execution. Storage & Transformation: Data loaded into the Fabric Lakehouse and transformed with Dataflows into analytics-ready tables. Visualization: Power BI dashboards provided actionable business insights. Outcome: Fully automated, scalable, and reliable multi-source reporting system.

Data Analysis Data Engineering Microsoft Power BI Database Development Azure Google Analytics

Shania Mathews

• Mar 31

This project showcases my ability to transform messy, unstructured data into clean, organized, and actionable insights using Excel.

I worked with raw datasets containing inconsistencies such as duplicate entries, inconsistent formatting, and missing structure. I cleaned and standardized the data, ensuring accuracy and consistency across all fields.

From there, I built organized tables and dashboards to highlight key metrics such as revenue, profit, and performance by category and region. I also used formulas (including SUMIFS and calculated fields) to automate insights and improve usability.

This type of work is ideal for clients who need:

Clean and structured data

Reliable reporting

Easy-to-read dashboards

Improved data accuracy

The end result is a clear, professional spreadsheet that turns raw data into meaningful insights.

Data Entry Microsoft Excel Data Analysis

Geethasree Naguboina

pro

• 2d

The before and after view of the data cleaning really shows the value clearly — clients often don't realise how much time messy data costs them until they see it laid out like this. The monthly sales dashboard with KPIs on top is a clean layout too. Did you build this for a real client or as a portfolio piece?

Abhishek Diwakar

• Mar 31

🚀 In this project, I handled data entry, web research, and data analysis tasks with high accuracy. I used Excel & Google Sheets to organize, clean, and manage data efficiently. 📊 Focused on fast delivery, error-free work, and clear formatting to ensure quality results. 🎯

Data Entry Google Sheets Microsoft Excel Data Analysis Web Design Microsoft Word

Geethasree Naguboina

pro

• Apr 2

Combining data entry, web research and analysis in one project is a strong value offer — clients don't have to coordinate between multiple freelancers. The clean formatting on the revenue sheet stands out. Was this a real client project or a portfolio sample?

Abhishek Diwakar

• Mar 31

🚀 This project showcases my skills in managing employee attendance data using Excel. I accurately recorded employee details, attendance, and absence records. 📊 Focused on clean formatting, data accuracy, and easy tracking to help monitor employee performance efficiently. 🎯

Microsoft Excel Data Analysis Data Entry Data Visualization Excel VBA Google Sheets

Geethasree Naguboina

pro

• Apr 1

Clean structure and good use of filters for attendance tracking! Adding a department-wise summary tab on top would make it even easier for managers to spot patterns quickly. Did you build this for a real client or as a portfolio sample?"