Data Architecture & Engineering
Modern data pipelines without the fragility
We help SME teams build fast, reliable data infrastructure using modern platforms like Azure, AWS, Snowflake, and BigQuery. Whether you’re rethinking a legacy setup or scaling for growth, we’ll help you get it right — and keep it flexible.
Problem We Solve
When your pipelines are brittle, everything slows down — reporting breaks, teams can’t trust the numbers, and valuable time gets wasted chasing fixes.
What We Deliver
- Robust, modular data pipelines
- ETL/ELT strategy tailored to your stack
- Data validation and monitoring built-in
- Cloud-native architecture (Azure, GCP, AWS, Snowflake, etc.)
- Documentation your team can actually use
Where It Helps
- Reporting & BI that’s constantly breaking
- Data scattered across tools and departments
- Legacy pipelines that are hard to debug or scale
Real-world tools
We use what fits
- Airbyte
- Fivetran
- dbt
- Snowflake
- Azure Data Factory
- GCP Dataflow
etc. No one-size-fits-all solutions here.
case example
How a UK telecom team cut SLA breaches by 95%
Lebara was facing regular SLA breaches due to brittle, monolithic data pipelines. We redesigned their architecture using a Data Mesh approach with Azure Data Factory and Synapse — simplifying the stack, improving resilience, and boosting trust in reporting.
Outcome:
- SLA breaches reduced by 95%
- Higher data quality and completeness
- Delivered in under 3 quarters
Need to fix the plumbing before you automate the house?