Sindre Grindheim
Data Platform EngineerSindre has 14 years of experience as an architect and developer in data & analytics. He works daily with challenges related to architecture, data flow and data provisioning, and is a certified Data Engineer in both Microsoft Azure and Google Cloud.
Sindre has designed and developed data platforms on Azure and Google Cloud for several large companies, built around principles of a building block approach, separation of processing and storage, and holistic DataSecOps. In these projects, components such as EPP databases, Data Lakehouse, Databricks, dbt, data lake, infrastructure as code and CI/CD have been key components.
Sindre has previously been a consultant and held professional responsibility for Data Engineering at PwC Consulting and Capgemini Norway.
Last articles by Sindre:
Glitni shares a proposed testing framework that enables unit testing of macros in dbt. Read More
We have published a Medium article comparing schema-on-read support for JSON across a selection of popular data processing engines Read More
Get tips on how to start a dbt project (data build tool) from a data platform engineer. dbt should be considered a central part of any data stack in 2022. Read More