
Databricks | Glitni is a Databricks Partner
01.05.2023 | 2 min ReadGlitni can help you implement and scale the Databricks platform for all your data, analytics, and AI needs
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Strengthen your data analytics with our expertise
As a certified service provider, we combine Databricks’ fast processing engine based on Apache Spark with our extensive experience and expertise to deliver efficient data transformation and advanced analytics services. Databricks can be used as a processing engine for data residing in a wide range of different data storage services.
Glitni is a trusted implementation partner for Databricks
Glitni is a Databricks partner, ensuring professional development
The partnership gives us a quality stamp as a service provider, since Databricks requires that we both develop and are certified within the technologies. It also gives our clients confidence that we continuously focus on developing competence in the most widely used technologies and have certified consultants. We gain access to support and documentation that makes us even more effective when we deliver architecture advisory and implementation services.
We help ensure the right strategic choices
We have a solid understanding of data architecture, which means we always start with the business’s needs and architecture before evaluating the technology.
Our consultants have experience with Databricks in enterprise environments. We have encountered many of the challenges you will face along the way and bring proven solutions with us.
We help you get started quickly
We have examples of best practices, documentation, and code from Databricks environments that save you as a client a lot of time. We have experience from similar implementation projects and have specialized expertise in DataOps and MLOps.
We have experience with various storage and processing solutions, and over time we have developed clear and effective development methodologies, including how a data lake should be organized, naming conventions, use of key vault, and similar. We also always focus on CI/CD through automated deployment, and ensuring safe and efficient development of services based on Databricks. We are committed to building infrastructure as code and using reusable dynamic environment configurations with tools such as Terraform.
Glitni is a technology-neutral advisor
We work daily with technologies from several major vendors across various projects. Glitni is technology-neutral when helping with decisions about architecture and technology.
We believe that use cases and conditions should always guide the choices. Our partnership with a vendor does not influence this.
Meet some of our Databricks experts!
By partnering with us, you gain access to a team of experts who can help you establish and further develop your data platform efficiently, and scale the solution in line with your organization's needs.
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
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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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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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
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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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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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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Anton Lindahl
Data Engineer
Anton is an experienced Data Engineer with experience in both development, project management and advisory.
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Nicholas de Flon
Data Engineer
Nicholas is a Data Engineer with a passion for developing scalable and valuable data products.
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Get in touch!
Feel free to contact us for a friendly chat about how you can best leverage Databricks to create value from data!
Magne Bakkeli
91 66 22 69
magne.bakkeli@glitni.no










