Data Engineering
Quality data management is becoming the foundation for growth and innovation. We provide a range of services focused on maximizing the efficiency of processing and using your data.
Available specialists
Our Data Engineering Services
Development and optimization of data pipelines
Building reliable and scalable data pipelines that ensure effective and timely data updates.
Real-time data management
Developing solutions for processing and analyzing real-time data, using Apache Kafka, Apache Flink, and other technologies.
Storage and processing of big data
Working with distributed systems such as Hadoop and Spark for processing and analyzing large volumes of data.
Optimization of data warehouse performance
Designing and tuning data warehouses for maximum performance and query efficiency.
Data migration
Assisting in transferring data from old systems to new ones, including data transformation and cleaning.
Data architecture development
Designing data storage systems, considering current and future business needs.
Data quality assurance
Developing mechanisms for controlling and improving data quality.
Integration with data sources
Connecting to various data sources, including databases, APIs, data streams and others.
Our experience with Data Engineering technologies
We strive for accuracy and reliability in data processing, using modern tools and technologies.
Data Validation
Solutions based on Great Expectations for ensuring data quality.
Orchestration
Using Prefect for automating workflows.
Migrations
Managing database structure using Alembic.
Code analysis
Typing and Flake8 for maintaining high code quality standards.
NLP models
Working with various BERT, TensorFlow and PyTorch models.
Our approach to work
-
Flexible development
Adaptation and quick response to customer requirements for achieving optimal business solutions.
-
Scalability
Our solutions are developed with future growth and scalability in mind.
-
Security
We pay special attention to data security, using proven approaches and technologies for data protection.
-
Focus on Quality
Application of automated tests, version control and continuous integration to ensure high quality of our solutions.
-
Transparency
Providing the client with regular reports and updates on the project status and results.
-
Collaborative Approach
Close collaboration with the client's teams, sharing of experience and knowledge.
-
Continuous Learning
We keep track of new technologies and best practices in the field of Data Engineering and implement them in our work.
Contact Us
If you are ready to learn more about how our expert knowledge in Data engineering can become your strategic advantage, leave us a message. We are looking forward to the opportunity to work with you!
Let's get started
Please leave your contacts, and we will get in touch with you within one business day.
Other Expertises
Interested? Find out about our other expertises
