Data engineering
Data engineering and analytics
Data pipelines, warehouses and reporting that turn scattered data into dependable datasets your team can use every day.
What you receive
Deliverables for data engineering & analytics
- Working data pipelines with monitoring
- Documented data models and data dictionary
- Quality checks and reconciliation reports
- Reporting-ready datasets
- Handover notes and runbooks
What's included
Everything in Data Engineering & Analytics
Batch and streaming data pipelines (ETL and ELT)
Data warehouse and data lake design on AWS or Azure
Data modelling, quality checks and reconciliation
Reporting and dashboard-ready datasets
SAS and SQL analysis, migration and validation
Data integration and migration between systems
Monitoring, alerting and cost control for data platforms
Documentation of data flows, schemas and ownership
Process
How we deliver
- 01
Discovery
We listen first: your goals, users, constraints and any systems already in place.
- 02
Design
We shape the structure, screens and architecture, and agree the approach with you.
- 03
Build
We build in reviewable steps, so you can see progress and give feedback along the way.
- 04
Launch
We test, release and hand over the documentation needed to run what we built.
- 05
Support
Maintenance and improvements can continue after launch, as agreed with you.
Data Engineering & Analytics: common questions
What does data engineering involve?
Building the pipelines and storage that move data from your systems into a clean, reliable form, then checking its quality and documenting it so analysts and reports can depend on it.
Can you work with SAS and SQL?
Yes. SAS and SQL analysis, validation and migration are part of the service, including reconciling SAS processes with SQL or cloud data platforms.
Which platforms do you use?
Typically AWS or Azure, with tools such as Python, Airflow, dbt and Spark. We agree the stack with you after discovery.
How long does a data project take?
It depends on the scope. We confirm a realistic timeline after discovery, once we understand what you need, and we do not promise dates before that.
How much does a data project cost?
We do not publish fixed prices because every project is different. Tell us what you need and we will reply with a clear next step and a quote based on the scope.
Our other services
Let’s build it
Ready to build with CloudWiss?
Tell us what you want to build, move to the cloud or keep running. We reply with a clear next step.