Google BigQuery | Glitni is a Google Partner

01.05.2023 | 2 min Read

Glitni can help you implement and scale Google Cloud platform for your data, analytics, and AI workloads.

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Scalable infrastructure for your data platforms

In partnership with Google Cloud, Glitni provides access to a broad range of products and services for developing, storing, and managing data and applications. With our certifications and expertise, we use Google Cloud’s infrastructure to build scalable and efficient data platforms for our clients.

Google Cloud offers an impressive range of cloud services, including storage, computing, networking, and security, giving us the ability to tailor solutions based on your unique needs and requirements.

Glitni is a reliable implementation partner for Google Cloud

Glitni is a Google Partner, providing assurance of professional development

The partnership gives us a quality mark as a service provider, as Google requires us to both develop and maintain certifications across their technologies. It also gives our clients confidence that we continuously focus on developing expertise in the most widely used technologies and have certified consultants. We gain access to support and documentation that makes us even more effective when delivering architecture advisory and implementation services.

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 Google Cloud 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 Google 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 CI/CD through automated deployments, and on ensuring safe and efficient development of services based on Google Cloud. We are committed to building infrastructure as code and using reusable, dynamic environment configurations with tools such as Terraform.

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. Our partnership with a vendor does not influence this.


Meet some of our Google Cloud 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.

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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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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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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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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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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Sven Eigenbrodt profile image

Sven Eigenbrodt

Data Platform Engineer

Sven is an experienced Data Platform and Data Engineer with experience in team leadership, development and architecture. 
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Get in touch!

Feel free to contact us for a friendly chat about how you can best leverage Google 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.