Delivery, migration & support
Technical support for DWH and dashboards
I take responsibility for the stability of your analytics: I watch the integrations, quickly fix failures, and enhance the dashboards as the business grows.
What is technical support for DWH and dashboards
Technical support for DWH and dashboards is the ongoing maintenance of an already running data warehouse and the reporting built on it: monitoring integrations and scheduled loads, responding to incidents within an agreed SLA, fixing pipeline and dashboard failures, and optimizing and further developing the data model. I make sure the data updates on schedule, the numbers stay accurate, and the dashboards don't break after changes in the sources. This way you keep stable analytics without a dedicated data team on staff. You learn about problems through alerts before the business notices them — and they're resolved before they affect any decisions.
When you need support
What the service includes
Monitoring integrations and data quality
I watch the scheduled loads and check data quality so that discrepancies and gaps don't reach the reporting. Failure alerts arrive in Telegram.
Rapid failure fixing
I restore pipelines and dashboards when integrations break or sources change. I investigate the root cause so the failure doesn't recur.
Dashboard enhancements
I add new metrics, breakdowns and reports as tasks arise for the team. I keep the visualizations aligned with the business's current questions.
Warehouse development
I connect new sources and extend the data model and data marts to meet growing needs. The warehouse evolves with the business instead of becoming outdated.
Performance and cost optimization
I speed up slow queries and pipelines and revisit the model and materialization. I reduce the load and cloud costs without sacrificing data quality.
Data and SQL consulting
I help the team understand the warehouse design, the metrics and the SQL queries. I advise on how to compute indicators correctly and work with the data marts.
How support is organized
- 01
Onboarding and audit of the current system
I get to grips with the warehouse, integrations, dashboards, access and documentation. I record how the system works now and find the bottlenecks worth closing first.
- 02
Setting up monitoring and alerting
I connect alerts for failures in scheduled loads and data quality checks. I configure them so a problem is known before the business notices it.
- 03
Handling requests and incidents under SLA
I accept requests and respond to incidents within the agreed response time. I restore operation, investigate the cause and keep you informed of the status.
- 04
Planned enhancements and development
I carry out regular enhancements: new metrics and reports, connecting sources, extending the data model. Development follows priorities, without accumulating technical debt.
- 05
Performance and cost optimization
I periodically revisit heavy queries, pipelines and cloud costs. I speed things up and reduce the cost of ownership as the system grows.
- 06
Documentation and regular support reporting
I keep the documentation current and record changes. I regularly report on completed work, incidents and the state of the system.
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
Analytics only deliver value when they run reliably and evolve with the business. I take on the technical side — monitoring, responding to failures and enhancements — so you can trust the numbers, learn about problems before the business does, and not get distracted by incidents.
How much support costs
I structure support on a retainer model or hourly — the cost is calculated individually for your infrastructure and requirements. Several factors affect the final price:
Shall we discuss your task?
FAQ
Do you support a system you didn't build? +
Yes. I start with onboarding and an audit of the current solution to get to grips with the architecture, integrations, dashboards and access. After that I record the state of the system and take it on for support — even if the documentation is sparse or outdated.
How quickly do you respond to failures? +
Response time is fixed in the support terms (SLA). For critical systems I set up monitoring with alerts so I learn about a failure before the business does and start recovery right away, rather than after user complaints.
In what formats does support work? +
Different formats are possible: a retainer package of hours for regular maintenance, hourly billing for actual work, or incident response within an SLA. Most often it's a combination of monitoring, rapid fixes and planned enhancements — we choose the specific model to fit your tasks and load.
Is support only fixing, or development too? +
Both. Besides monitoring and fixing failures, I carry out planned enhancements: adding metrics and reports, connecting new sources, extending the data model and optimizing performance. The analytics don't freeze — they evolve with the business.
What about access and security? +
I work with the minimum necessary access to the warehouse, sources and BI — exactly as much as is needed for support. All permissions are agreed in advance, and changes are recorded in the documentation. When the engagement ends, access can be revoked without any impact on how the system runs.
What happens if an engineer leaves our team? +
I help preserve the knowledge of the system and keep support uninterrupted. During onboarding I get to grips with the system and document how it's built, so the departure of an in-house engineer won't leave you without support. I can pick up maintenance, hand over knowledge to a new specialist, and preserve continuity across integrations, data marts and dashboards.