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Data Engineering

We turn your scattered data sources into a single, reliable analytics system: Data Warehouse construction, ETL/ELT pipelines, real-time streams (Kafka) and BI dashboards. Let your decisions rely on exact numbers, not guesses.

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PythonApache AirflowKafkaClickHousedbt
Business value

All business metrics on one dashboard — decisions get faster and more accurate.

What we do within this service

Data Warehouse

A central warehouse collecting data from all your sources.

ETL/ELT pipelines

Automated data flows built on Airflow and dbt.

Real-time streams

Live data with second-level latency via Kafka.

BI dashboards

Clear, interactive visual reports for management.

How we work

How a project comes to life

A transparent process: you know what's happening at every stage and see results every week.

1

Discovery & plan

We study your business goals and prepare a spec and a precise estimate.

3–5 days
2

UI/UX design

We deliver prototypes and design mockups — you see the result before any code.

1–2 weeks
3

Development

We work in weekly sprints, demonstrating new features every week.

2–8 weeks
4

Testing

We verify the product thoroughly with manual and automated tests.

3–7 days
5

Launch

We deploy to the server, set up monitoring and train your team.

1–3 days

Shall we discuss your project?

Tell us your idea — within 24 hours we'll come back with a technical solution and a preliminary estimate. The consultation is free.