Business Professionals
Techno-Business Professionals
Power BI | Power Query | Advanced DAX | SQL - Query &
Programming
Microsoft Fabric | Power BI | Power Query | Advanced DAX |
SQL - Query & Programming
Microsoft Power Apps | Microsoft Power Automate
Power BI | Adv. DAX | SQL (Query & Programming) |
VBA | Python | Web Scrapping | API Integration
Power BI | Power Apps | Power Automate |
SQL (Query & Programming)
Power BI | Adv. DAX | Power Apps | Power Automate |
SQL (Query & Programming) | VBA | Python | Web Scrapping | API Integration
Power Apps | Power Automate | SQL | VBA | Python |
Web Scraping | RPA | API Integration
Technology Professionals
Power BI | DAX | SQL | ETL with SSIS | SSAS | VBA | Python
Power BI | SQL | Azure Data Lake | Synapse Analytics |
Data Factory | Databricks | Power Apps | Power Automate |
Azure Analysis Services
Microsoft Fabric | Power BI | SQL | Lakehouse |
Data Factory (Pipelines) | Dataflows Gen2 | KQL | Delta Tables | Power Apps | Power Automate
Power BI | Power Apps | Power Automate | SQL | VBA | Python | API Integration
If 2023 was the year of Data Scientists and 2024 was the rise of AI Engineers, then 2025 is shaping up to be the year of the Azure Data Engineer.
Sounds bold? Let’s unpack why.
Everyone is talking about AI. But here’s the truth: AI is useless without clean, accessible data.
Who ensures that data is collected, structured, and delivered in real time? Data Engineers.
And with Microsoft dominating the enterprise cloud ecosystem, Azure Data Engineers are the ones fueling the AI revolution.
By 2025, more than 70% of enterprises are expected to move their data infrastructure fully or partially to the cloud (Gartner).
That means massive demand for professionals who can:
Azure Data Engineers are the architects behind this migration — and businesses can’t move forward without them.
Many organizations already use Power BI for reporting. With the rise of Microsoft Fabric, the entire ecosystem now leans on Azure Data Engineering skills to:
Without strong Azure pipelines, Power BI dashboards are just pretty visuals with stale or incomplete data.
For BI Analysts, SQL Developers, and even traditional ETL experts, upgrading to Azure Data Engineering is a career rocket ship.
Enterprises don’t just want silos anymore. They want professionals who can design pipelines, deliver insights, and automate actions.
That’s why the modern Azure Data Engineer often evolves into a Full Stack BI & Automation Specialist:
This combination makes them irreplaceable.
2025 isn’t just the year of AI. It’s the year where data engineering becomes the backbone of every digital initiative.
And within that space, Azure Data Engineering is set to be the hottest career — offering growth, stability, and a front-row seat to the future of data.
If you’re a BI Analyst, SQL Developer, or Data Professional, now is the time to upskill. Don’t wait until the market is saturated — 2025 is your moment to lead.
Editor’s NoteAt Excelgoodies, our Azure Data Engineering + Power BI Course is designed to help professionals move beyond reporting into end-to-end data solutions. You’ll learn how to build cloud-scale pipelines in Azure and deliver interactive insights in Power BI — the winning combination enterprises are demanding in 2025.
Courtesy: Excelgoodies Trainers & Power Users.
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