Data strategy and architecture
A clear plan for where your data lives, how it flows and who owns it, sized for today and ready for AI.
- Current-state review
- Target architecture
- Governance
- Cost planning
Data engineering and BI you can trust
We bring data from every system into one reliable platform, build dashboards people actually use and add forecasting so you can see what is happening today and what is likely next.
6.5M transactions processed per hourHours → minutes large data processing time1,000+ stores on one data platform
What we deliver
See what is happening in your business today and what is likely to happen next. Every engagement is shaped around your goals, data and systems.
ETL and ELT pipelines
Automated pipelines that pull, clean and load data from your apps, files and APIs on schedule or in real time.
- Batch and streaming
- API and file ingestion
- Data validation
- Orchestration
Data warehouses and lakehouses
One trusted source of truth on Databricks, Snowflake or Azure, modelled for fast reporting.
- Lakehouse design
- Dimensional models
- Performance tuning
- Cost control
Real-time data
Process high volumes of events as they happen for stock, pricing, alerts and operations.
- Event streaming
- Real-time alerts
- Operational dashboards
- Scalable processing
BI dashboards and reporting
Power BI and Tableau dashboards that answer real questions and refresh themselves.
- Power BI and DAX
- Executive dashboards
- Self-service reports
- Row-level security
Data science and forecasting
Demand forecasting, segmentation and predictive models built on your historical data.
- Demand forecasting
- Customer segmentation
- Churn and risk
- What-if analysis
Data quality and standardisation
Clean, match and standardise messy records so reports and AI give the right answers.
- Deduplication
- Address standardisation
- Validation rules
- Quality monitoring
Data migration
Move data safely from legacy systems to new platforms with checks at every step.
- Mapping
- Reconciliation
- Cut-over plans
- Zero data loss
How Technomous works
A clear, step-by-step process, so you always know what happens next.
- 01
Assess
We review your sources, reports and pain points and agree the questions data must answer.
- 02
Design
We design the platform, data model and pipelines, with security and cost in mind.
- 03
Build
We build pipelines and the warehouse in stages, so value arrives early.
- 04
Visualise
We deliver dashboards and forecasts with your team, then train them to use them.
- 05
Run and improve
We monitor pipelines and data quality and add new sources as you grow.
Tech stack and expertise
The platforms, languages and tools our team works with every day.
Platforms
- Databricks
- Snowflake
- Azure Synapse
- Azure Data Factory
- Azure Data Lake
- Microsoft Fabric
Processing
- Apache Spark
- Python
- SQL
- dbt
- Airflow
- Kafka
Databases
- SQL Server
- PostgreSQL
- MySQL
- MongoDB
- Redis
BI and analytics
- Power BI
- DAX
- Tableau
- Looker Studio
- Excel
Data engineering, data science and BI case studies
11 projects across 5 industries. Pick an industry to see what we have done for businesses like yours.
Hire Data engineering talent
Prefer to build in-house? Add dedicated specialists to your team, full-time, part-time or hourly, working in your tools and your time zone.
See all hiring optionsCommon questions
What clients usually ask before starting.
We have data in many tools. Where do we start?
We start with the reports and decisions that matter most, then connect the sources they need. You see value early instead of waiting for a full platform.
Can you fix our existing Power BI reports?
Yes. We audit, speed up and redesign existing reports and data models, and add row-level security.
Do you offer ongoing support?
Yes. We monitor pipelines, fix failures, tune costs and add new sources and reports on a monthly plan.
Databricks, Snowflake or Azure?
All are strong. We recommend one based on your data volumes, existing Microsoft or cloud setup, skills and budget.
How do you keep data secure?
We use role-based access, encryption, private networking and audit logs, and keep data inside your own cloud.
Talk to us about data engineering
Share a few details and a member of our team will get back to you soon to plan the next step.
info@technomous.comFollow us
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