Microsoft Fabric | Glitni Has Microsoft Expertise

31.03.2025 | 2 min Read

Glitni can help you implement and scale the Microsoft Fabric platform for your data, analytics, and AI workloads.

The Microsoft Fabric logo

Scalable infrastructure for your data platforms

Through Microsoft Fabric and Azure, Glitni has access to a broad range of products and services for developing, storing, and managing data and applications. With our expertise, we use Microsoft’s infrastructure to build scalable and efficient data platforms for our clients.

In addition to Microsoft Fabric, which is their latest SaaS solution for data and analytics, Microsoft offers a large range of cloud services through Azure, including storage, computing, networking, and security. This gives us the ability to tailor solutions based on your needs and requirements, including beyond what is covered by the Microsoft Fabric platform itself.

Glitni is a reliable implementation partner for Fabric

Glitni maintains a close dialogue with Microsoft, providing assurance of professional development

Glitni has a strong and close dialogue with Microsoft in Norway. We gain access to support and documentation that makes us even more effective when delivering architecture advisory and implementation services, both on Azure and Fabric.

We help ensure the right strategic decisions

We have a solid understanding of data architecture, which means we always start with the organisation’s needs and architecture before evaluating technology. Our consultants have experience with Microsoft Fabric and Azure in enterprise environments. We have encountered many of the challenges you are likely to face along the way and bring proven solutions with us.

We help you get up and running quickly

We have examples of best practice, documentation, and code from Microsoft environments that save you as a client a great deal of time. We have experience from similar implementation projects and specialise in DataOps and MLOps.

We have experience with various storage and processing solutions, and over time we have developed clear and well-defined development methodologies, covering how a data lake should be organised, naming conventions, use of key vaults, and similar practices. We also always focus on version control and CI/CD through automated deployments, and on ensuring safe and efficient development of services.

Glitni is a technology-neutral adviser

We work daily with technologies from several major vendors across different projects. Glitni is technology-neutral when helping to make decisions about architecture and technology. We believe that the use cases and constraints should always guide the choices.


Meet some of our Azure experts!

By partnering with us, you gain access to a team of experts who can help you establish and further develop your data platform effectively, and scale the solution in line with your organisation's needs.

Sindre Grindheim profile image

Sindre Grindheim

Data Platform Engineer

Sindre is an experienced Data Platform Engineer in architecture and implementation of modern data platforms on Azure and Google Cloud, Databricks and Snowflake. 
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Anton Lindahl profile image

Anton Lindahl

Data Engineer

Anton is an experienced Data Engineer with experience in both development, project management and advisory. 
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Monica Kappelslåen Plassen profile image

Monica Kappelslåen Plassen

Data Engineer

Monica is a versatile data engineer and data architect with solid experience in design and development related to data platforms. 
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Nicholas de Flon profile image

Nicholas de Flon

Data Engineer

Nicholas is a Data Engineer with a passion for developing scalable and valuable data products. 
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Knut Arne Smeland profile image

Knut Arne Smeland

Data Platform Engineer

Knut Arne is an experienced data engineer and platform developer who is passionate about building modular and robust platforms with minimal complexity. 
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Alexander Johansen Ohrt profile image

Alexander Johansen Ohrt

Data Engineer

Alexander is a keen Data Engineer and Data Platform Engineer with experience in developing data products in the cloud. 
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Lars Snekkerhaugen profile image

Lars Snekkerhaugen

Data Platform Engineer

Lars is an experienced Data Engineer and Data Platform Engineer who is familiar with modern data platforms on Azure and AWS, Databricks and Snowflake. 
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Christine Haugland profile image

Christine Haugland

Data Engineer

Christine is an experienced Data Engineer with strong expertise in developing data products on modern data platforms. 
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Alexander Vestgård profile image

Alexander Vestgård

Data Engineer

Alexander is an experienced Data Engineer who also has expertise in data platform development and team leadership. 
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Halvar Trøyel Nerbø profile image

Halvar Trøyel Nerbø

Data Platform Engineer

Trøyel is a dedicated Data Platform Engineer who has specialised in building datalake and lakehouse-based data platforms in the cloud. 
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Runar Alvseike profile image

Runar Alvseike

Data Platform Engineer

Runar is a seasoned Data Engineer in BI and Data & Analytics, where the majority of his experience has been spent building data lakehouse-based data platforms. 
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Get in touch!

Feel free to contact us for a friendly chat about how you can best leverage Microsoft technology to create value from data!

Magne Bakkeli
91 66 22 69
magne.bakkeli@glitni.no



author image

Magne Bakkeli

Magne has over 20 years of experience as an advisor, architect and project manager in data & analytics, and has a strong understanding of both business and technical challenges.