Analytics Engineering

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Designing analytical data warehouses

  • Organizing storage, preparation, and analysis of data from scratch
  • Building highly loaded analytical data warehouses with Kafka
  • Building architecture for your data warehouse

ETL processes

  • Building microservices for information input/output
  • Building ETL processes for data processing and storing
  • Building quality monitoring systems for data storage

Microservices for data collection

  • Building microservices for data collection from external sources (API)

Case Study

We’ve successfully implemented projects for large well-established companies as well as emerging startups.

Just Kids

English language school in Ukraine

It has been a pleasure working with Nikolai. First off, he tries to learn about the project in great detail to understand its needs. Secondly, the terms arranged in advance are almost always met, if there are no pitfalls along the way. And thirdly, you can come up to Nikolai with an idea and he knows how to turn it into a real project. That’s my best bet!

Alexander Dolmatov

Chief Marketing Officer, Just Kids

The Client's Goal

The client's goal was to build an effective analytical system for the company from scratch. The company purchases traffic for their website and wants to evaluate the effectiveness of investments. They use amoCRM to manage business processes and store data about students and their progress.

Our Approach

• Developed several microservices in Python, collecting data from amoCRM, Adwords, Facebook, and store it in the current storage of our client.
• Visualize collected data with Redash on the client's servers.

The Result

This resulted in making the contact price and customer acquisition cost more transparent, now the company efficiently spends its budget.

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