Data Engineering
Reliable pipelines for ingesting, processing and serving data across cloud and analytical systems.
Boutique data engineering consultancy
Reliable Data Platforms
Built with state-of-the-art tooling
We build reliable, scalable data platforms that help organizations turn data into trusted business assets.
Capabilities
Data platforms designed for real-world operations.
Datakas helps teams build modern foundations for data movement, transformation, orchestration and analytics.
Analytics Engineering
Version-controlled data models, clear business logic and maintainable transformation workflows.
Cloud Architecture
AWS-first platform patterns built for security, scalability, cost control and maintainability.
Modernization
Move from fragile legacy jobs to observable, cloud-native data platform practices.
Frameworks & tools we love
Modern tooling, used where it fits.
We prefer proven technologies that support automation, reproducibility, open interfaces and scalable operation.
AWSCloud infrastructure
DatabricksLakehouse platform
dbtAnalytics engineering
AirflowOrchestration
SnowflakeData warehouse
SparkDistributed processing
PythonEngineering language
SQLAnalytics foundation
GitHubVersion control
Power BIBusiness intelligence
TableauVisualization
DockerReproducible runtime
Principles
Engineering discipline over fragile shortcuts.
Open interfaces
Build platforms that remain flexible as business needs and tooling evolve.
Infrastructure as code
Keep environments reproducible, reviewable and easier to operate.
Observability first
Know when pipelines fail before users and decision-makers are affected.
Scalable by design
Architecture that grows with data volume, complexity and team maturity.
About Datakas
Boutique consultancy. Direct founder involvement.
Datakas is a boutique data engineering consultancy focused on building reliable, scalable and maintainable data platforms.
When you work with Datakas, you work directly with Kasper Birkelund across platform design, cloud infrastructure, orchestration, transformations and analytics delivery.
Kasper BirkelundFounder & Data Engineer
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