I will build microsoft fabric pipelines to move and transform your data
Data and Analytics Engineer, Multicloud Maverick in Azure and GCP
Vetted by Fiverr Pro
Dominik Hron was selected by the Fiverr Pro team for their expertise.
Vetted for
Cloud Computing
Data Analytics
Data Engineering
DevOps Engineering
About this Gig
Vetted Pro
Are you looking to automate your data movement and transformation logic using Microsoft Fabric pipelines? Well, you're in the right place! Data is my specialty.
Hi, my name is Dominik and I'm a Freelance Data & Analytics Engineer. It is my job to orchestrate data movement from source systems, between layers of a data warehouse and finally to applications or reports. Thank you for checking out my gig.
My selection of packages covers the following use cases and more:
- Extracting data from SQL, NoSQL, and API sources
- Access to cloud or on-premises data
- Data warehousing
- Transformation logic like aggregate, lookup, or conditional split
- Ensuring successful execution and raising errors where needed
To get started, I'll need the following information from you:
- What source systems do you want to extract data from?
- In what format and for which use cases will the data be delivered?
So, what are you still waiting for? Start saving time on data orchestration with Microsoft Fabric!
Please message me before placing an order so that I can get a better understanding of your requirements. With that I will be able to recommend an appropriate package and then service your needs accordingly.
Technology:
Azure data factory
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Excel
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Python
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SQL
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NoSQL
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Other
My Portfolio
FAQ
Can a Microsoft Fabric pipeline extract data from on-premise sources?
Yes. The easiest way to do this is installing an On-premises Data Gateway on any machine in your local network. A pipeline can connect to any on-premise data through this.
Do you need access to my Fabric environment?
I would appreciate guest access to the environment where you'd like these pipelines built. This may be a Fabric workspace or your Fabric tenant. Developing in your tenant minimizes bugs and improves feedback time.
What kinds of data sources do you have experience with?
In my previous projects, I integrated a variety of source data, ranging from traditional SQL databases to more modern sources such as NoSQL databases, APIs, and web scraped data.
We have components in our tech stack that you do not have experience with. Will you still be able to develop pipelines for us?
Of course! I'm always learning about new technologies and services that I haven't used before. I'm able to find a way forward using a combination of my own research and discussions with you.

