Data expertise. Business focus.
Reliable data.
Less manual work.
Better decisions.
We help businesses connect their systems, automate data workflows and build a dependable foundation for reporting, analytics and AI.
01 / What we do
Connected systems.
Data you can use.
Manual reporting, disconnected systems or numbers your team cannot trust? We help you understand the problem and build a practical solution.
Bring your data together
Connect disconnected systems and automate the work of collecting and preparing data for reporting and analytics.
Modernise your data systems
Replace manual transfers and ageing pipelines with dependable cloud workflows, using a phased migration that accounts for day-to-day operations.
Find what needs improving
Understand why reporting is slow, data is unreliable or cloud costs are rising. Get an independent review and a clear order of priorities.
02 / Technical depth
From scattered data
to useful information.
We connect your data sources, organise and check the information, and make it available to the people and applications that need it.
Explore our expertiseConnect your sources
Kafka · Azure Data Factory · APIs
Organise your data
Databricks · Spark · Delta Lake · ADLS / S3
Make it useful
Snowflake · dbt · AWS Lambda · APIs
Keep it reliable
Unity Catalog · Observability · CI/CD
03 / How we work
A considered approach.
From clarity to delivery.
We start with what your business needs, agree on priorities and work with your team through delivery and handover.
Understand
Listen to your team, map the current systems and agree on the business problem to solve.
Plan
Choose a practical approach, explain the trade-offs and agree on scope and priorities.
Build
Implement and test the solution with your team, checking it against agreed requirements.
Hand over
Document how the system works and help your team operate and maintain it.
04 / Selected case studies
What the work looks like.
Lakehouse engineering Anonymized case study
Bring Disconnected Data Together for Reporting
A repeatable way to collect information from multiple systems and prepare it for reporting and analytics, using Databricks and dbt.
Warehouse & application integration Anonymized case study
Connect Reporting and Business Applications
Use shared, prepared datasets for reporting and send the same business information to other applications through Snowflake and AWS integrations.
Platform modernization Anonymized case study
Replace Manual File Uploads with Automated Workflows
Move files from local computers and shared folders into a managed cloud workflow, with checks before data reaches reporting and analytics.
05 / Why ARGANAUT
Specialist by design.
Accountable by nature.
Work directly with the founder and the engineers responsible for delivery, with clear communication from the first conversation to handover.
Meet ARGANAUT- Senior-led delivery
- Deep data-platform specialization
- Architecture and implementation together
- Small, focused engineering teams
- Direct communication
- A lean consulting model
A clearer way forward
What is slowing your team down?
Let us help you find a way forward.
Tell us about the manual work, disconnected systems or unreliable data you want to improve.