My name is Lars Albertsson and I am a veteran data engineer. I was in the team that pioneered DataOps and data platform engineering at Spotify, enabling the data democratisation that made the company one of the leaders in data- and AI-powered features. Since then, I help companies raise their data innovation capabilities and maturity beyond data warehouses, lakehouses, analytics, and prototypes, to robust data and AI products. My work is founded in the data architecture and operational patterns that we evolved at Spotify, but I have figured out how to achieve the same efficiency and development speed with minimal technical investment. Read more about my background.

Clients

Raising data and AI capabilities

Companies that want to move beyond analytics or prototypes to operational production-quality data and AI products.

Seeking data/AI maturity

Companies that want to modernise and structure existing ad-hoc, microservice, or data warehouse based data processing.

Already mature, need capacity

Companies with a mature data platform that need experienced engineers to build data features.

Data or AI features as a service

Companies that want to build data or AI features, and have them hosted and operated as a service.

My clients have in common that they want to prioritise high value creation but with minimal investment.

Services

Platform development

Leading a small team to build up data capabilities and a data platform.

Pipeline development

Building data processing pipelines in client's existing platform.

Hosted custom data pipelines

Building and operating data-powered or AI features, hosted externally or in client's infrastructure.

Business process automation

Automating repetitive business tasks with robust data engineering.