• 89

    developers and engineers

  • 8

    years or experience

  • 100+


What we do

We embrace professional data solutions of any complexity level. We build data lakes, set up ETL/ELT processes, develop big data applications as well as provide other data-related services:

  • big data consulting
  • big data analytics
  • big data development
  • big data management
  • data visualization
  • data quality management
  • big data testing
  • data migration
  • big data mining
  • data integration
  • big data automation

Over the years, the company has provided a range of tailor-made big data solutions for clients from 35+ countries worldwide, and the demand continues to grow. This is because today one cannot imagine any industry growth without proper big data services.

How we work

Our team has developed specific processes for working with big data projects. The complexity of the solution affects a lot what the final development process looks like, but we can still highlight the most important stages:

  • discussing business goals and expectations with the client
  • defining the technologies that will be used in the data development process
  • collecting and sorting data, discovering specific patterns, correlations, and anomalies in the data set
  • cleaning and converting the data into an appropriate format
  • examining parts of the data, identifying helpful trends and patterns

Our team

The department includes 80 specialists: AWS data engineers, Azure data engineers, GCP data engineers, DataOps engineers, etc. They are professionals capable of integrating big data with a range of modern technologies: blockchain, machine learning, data science, IoT. This integration helps achieve maximum results in the shortest possible time along with benefits such as security, cost-effectiveness, and accuracy of operations.

Tech Stack

Python, Scala, Ruby, Java, C++, Google Data Studio, Tableau, Power BI, Looker, QlikView, QuickSight, Qlik Sense, Keras, PyTorch, TensorFlow, Theano, SciPy, Caffe, OpenCV, Sklearn, Pandas, NumPy, Seaborn, Matplotlib, Plotly, Amazon Glue, Lambda, AWS S3, SQS, Azure Data Lake, CloudWatch, Azure Synapse Analytics, Azure Cosmos DB, Azure DataBricks, GCP DataPrep, GCP DataProc, GCP DataFlow, GCP Cloud Storage, Apache Hive, Apache Hadoop, Apache Airflow, Apache HBase, Cassandra, Kafka, Apache NiFi.

bg Tihonovich Philip

Tihonovich Philip

Head of Big Data Department

A better future is built by working together. We help our clients find the best solutions, we help each other grow in the profession and reach new heights.

Project Examples