Services
Practical help with your data.
Bring your systems together, reduce manual work and make information easier to use. We help you choose the right approach, then design and build it with your team.
Service / 01
Plan a connected data platform
The challenge
Growing workloads, fragmented systems and unclear ownership make each new data use case harder to deliver.
How we help
We map requirements and constraints, define platform boundaries and design a pragmatic target architecture with your engineering team.
What you leave with
- Architecture diagrams and decision records
- Technology and operating-model recommendations
- Phased delivery roadmap
Service / 02
Build reliable analytics with Databricks
The challenge
Your team needs reliable reporting data, but disconnected scripts and manual fixes make it difficult to keep information ready for use.
How we help
We build Databricks and Delta Lake foundations on AWS or Azure, with YAML-driven ingestion utilities and dbt models that carry bronze data into silver and gold.
What you leave with
- Lakehouse design and implemented pipelines
- Environment and deployment patterns
- Operational runbooks and handover
Service / 03
Make business data usable with Snowflake
The challenge
Inconsistent data models and poorly managed workloads complicate analytics delivery and cloud spending.
How we help
We design Snowflake ingestion and dbt models for analytics, alongside AWS workers and Lambda integrations that query curated views and push data to downstream APIs.
What you leave with
- Warehouse and data-model design
- Ingestion and SQL transformation workflows
- Workload and access configuration
Service / 04
Automate data collection and updates
The challenge
Late, duplicated or missing events undermine confidence in downstream data.
How we help
We design batch and event-driven ingestion around source behavior, replay requirements and clear data contracts.
What you leave with
- Reusable ingestion frameworks
- Failure recovery and replay patterns
- Monitoring and data-quality checks
Service / 05
Modernise and migrate your data systems
The challenge
Legacy pipelines constrain change, but a migration must preserve critical business processes.
How we help
We assess dependencies and move local files and legacy workloads toward ADLS or S3 landing zones, triggered ingestion and modern data platforms, with validation and rollback criteria before cutover.
What you leave with
- Source-to-target migration plan
- Migrated pipelines and reconciliation checks
- Cutover and rollback runbooks
Service / 06
Improve speed and control cloud costs
The challenge
Slow processing and opaque cloud costs make it difficult to plan platform growth.
How we help
We investigate actual workload behavior, identify bottlenecks and tune compute, storage and processing patterns against agreed baselines.
What you leave with
- Workload and cost analysis
- Prioritized tuning recommendations
- Implemented changes and validation evidence
Service / 07
Review your data systems
The challenge
Your team needs an independent view of technical risk and a clear order of priorities.
How we help
We review architecture, reliability, governance, scalability and cost through focused workshops and technical inspection.
What you leave with
- Platform health and risk assessment
- Prioritized improvement backlog
- Practical technical roadmap
Service / 08
Get guidance on technical decisions
The challenge
A high-impact platform decision needs experienced technical input without a full delivery engagement.
How we help
We work directly with engineering leaders on architecture reviews, delivery planning and the decisions that shape long-term operability.
What you leave with
- Architecture and design reviews
- Decision records and trade-off analysis
- Focused engineering guidance
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.