Data warehousing & architecture
Turnkey Analytical DWH
I bring all of your business data together into one reliable warehouse on Google BigQuery or ClickHouse — the foundation for dashboards, end-to-end analytics and decision-making.
What is DWH
A Data Warehouse is a centralised system that regularly collects and harmonises data from all of your business sources: CRM, accounting, ad platforms, website and app. It becomes the basis for all reporting and analytics — with no manual exports and no discrepancies in the numbers.
When you need this
What's included
Data ingestion from any source
Ready-made connectors and custom integrations to CRM, accounting systems, ad platforms, your website and app.
Processing and modelling
Cleansing, normalisation and building data marts with dbt — data is ready to use in dashboards.
Orchestration
Automated scheduled loads on Apache Airflow or Prefect, with schedules and dependencies.
Quality control
Integrity and data-quality checks at every step of the pipeline.
Alerting
Telegram notifications about integration failures and important changes in the data.
BI visualisation
Dashboards in Google Looker Studio or Metabase on top of the finished warehouse.
How it works
- 01
Discovery and pre-project analysis
We review data sources, metrics and reporting requirements, and lock down the architecture.
- 02
Warehouse design
We choose the database (BigQuery/ClickHouse) and design the layers and data model.
- 03
Integrations and ingestion
We connect the sources and set up scheduled loads and orchestration.
- 04
Data mart modelling
We build data marts on dbt tailored to specific dashboards and tasks.
- 05
Visualisation and acceptance
We create dashboards, verify the numbers are correct, and hand them over for use.
- 06
Support
I keep the DWH running reliably and continue to evolve it.
Projects
Analytics platform for the digital agency YA AGENCY
Analytical data warehouse and dashboards for Ash
End-to-end analytics and infrastructure migration for WiseAdvice-IT
Dashboards for the SaaS platform Entera
Analytical data warehouse for a chain of bars and restaurants
Analytical data warehouse for the Neolombard pawnshop chain
Unified data warehouse and dashboards for the delivery service Edostav
Data warehouse for the financial analytics project VISUALSECTORS
Tech stack
dbt 
OpenMetadata Clients
Testimonials
A data warehouse is the foundation on which a company’s entire analytics rests. I design and build the DWH so that the numbers are trustworthy, reports stay current, and adding new sources and dashboards never turns into a headache.
Pricing
Pricing is calculated individually and depends on the scope and complexity of the project.
Shall we discuss your task?
FAQ
Which database do you build the DWH on? +
Most often on Google BigQuery or ClickHouse — the choice depends on data volume, budget and speed requirements. During the pre-project analysis we'll pick the best option.
How long does implementation take? +
A basic warehouse with the first integrations and dashboards — from a few weeks. Exact timelines depend on the number of sources and the complexity of the data.
What happens after launch? +
I provide technical support for the DWH and dashboards, and refine integrations and reports as the business grows.