SERVICE

Data engineering services to make the most of your data

Intended to expand your data analytics capabilities and ensure the quality and consistency of data across all sources and pipelines

What can your business get from data engineering?

Data scalability
& productivity

Increase data processing and operational capacity by developing a scalable data pipeline

Data monetization

Enable new revenue streams by making use of actionable data-driven insights

Resource
optimization

Optimize resource allocation and reduce the need for manual intervention by automating data processes

Data accessibility
& availability

Make your data available for your employees, customers, and partners through data engineering solutions

Long-term
perspective

Stay relevant over time and adapt to changing landscapes by creating a data strategy as per your goals

Data security
& compliance

Be compliant with regulations and industry standards and protect sensitive information from breaches

Here is how our data engineering solutions work

You can go all the way with your data 😉

Data collection
& ingestion

Efficient data
integration

Data cleaning
& preparation

Data quality
improvement

Data migration
& warehousing

Effective data management

Data
visualization

Valuable data
insights

Data transformation
& ETL

Enhanced data processing

Data pipeline development

Smooth data flow

Check our data engineering case studies

Deliverables included launching an ETL process that is able to scale, speeding up the Extract time by almost three times, and accelerating the Transform time by two times.
The result was a system that could handle a large number of data pipeline tasks. The number of delays and issues was reduced to the bare minimum.

How do we work?

Milestone 1:

Design or discovery phase
• defining requirements, the scope and roadmap
• making technical and functional assessment of existing software
(if there is any)
• designing and presenting the solution

The search for a solution

Milestone 2:

Approval
• agreeing on the terms of the contract
• dedicating the relevant specialists

Accepting
proposal

Milestone 3:

Kick-off meeting
• establishing common goals, timelines, communication plan
• deciding on a tracking and acceptance process

Finishing
touches

Milestone 4:

Getting Started
• assigning scope of work to team members
• proceeding with development/data research
• demo of incremental progress
• tracking a transparent implementation process

Solution implementation

Technology stack

Apache Airflow
Apache Spark
Cloudera
Databricks
Apache Hadoop
Apache Hudi
Amazon Glue
Amazon EMR
Amazon Web Services
Google Cloud
Microsoft Azure
PostgreSQL
Snowflake
Amazon Opensearch
Amazon Redshift
Nest JS
.NET Core
Node JS
Flask
FastAPI
Express JS
Angular JS
React JS
Ember JS
Tableau
Power BI
Amazon Quicksight
D3 JS

Technology stack

Data engineering:

Apache Airflow
Apache Spark
Cloudera
Apache Hadoop
Amazon Glue
Databricks
Amazon EMR
Apache Hudi

Cloud providers:

Amazon Web Services
Google Cloud
Microsoft Azure

Analytics & databases:

Amazon Opensearch
Snowflake
PostgreSQL
Amazon Redshift

Web platforms & frameworks:

Nest JS
.NET Core
Node JS
Express JS
Flask
FastAPI

Frontend frameworks:

Angular JS
React JS
Ember JS

BI & visualization

Tableau
Amazon Quicksight
Power BI
D3 JS

Your turning point is so close!

Just contact our team, and we’ll help your business get the most out of data and technology
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