DATA ENGINEERING SERVICES
Give your stakeholders the facts they need. Set up an AWS system that catches data from your databases, API, Excels, or SaaS tools in real-time. We’ve already helped European banks or e-commerce platforms, delivering 160+ projects to date.
ONE TEAM — ALL DATA ENGINEERING SOLUTIONS
Imagine predicting when sales spike or what content makes users act. What would you like to know?
Our engineering team can show you how to catch and turn data into game-changing insights. You’ll be able to analyze many sources by using the cloud — at an optimized cost
GDPR and data security compliance is our golden standard.
Aggregate data
Collect, filter, and sort information from your backend, any database, file, or SaaS.
Predict trends
Know what customers will do and find ways to boost your revenue
Speed up or automate data analysis
Update your data study methods and re-use the time employees save
Scale up operations
Set more accurate goals, increase customer loyalty, and find ways to build up the product
Track and measure
Prepare your data to be used as business intelligence on a dashboard for your teams
Migrate data
From on-prem to the cloud or between cloud providers — while the service remains live and well
TECHNOLOGY STACK
Whatever you’re building, we got your back at every stage of software development life cycle. We’ve built a core system for a bank, an MVP marketplace sold for millions, and other 5☆ custom projects for 140+ companies worldwide.
ETL / ELT development
Map, clean, and transform data
Before data works for you, you need to pull it from multiple sources and make it usable. Both ETL (extract-trasform-load) and ELT (extract-load-transform) processes turn data from SQLs, files, PDFs, and CRMs into information that can be assigned clear value.
Depending on what information is needed and who reads it, your engineers need to set up either ETL or ELT before data lands in one bucket. Used by TUI, Slack, or Cisco.
We will
OUR APPROACH
Working with data makes sense only if you use it to power up business decisions. As early as possible, let’s show your team value in collecting data and extracting insights.
Then, we’ll consider what solution suits your processes — also by looking at how companies across the industries we’ve worked with handled their engineering.
Rest assured, you won’t get stuck with a custom solution. Your data pipeline will scale by design by using AWS services, and it will comply with changing information processing regulations.
Work with programmers who develop the best product possible
Ask about our talent today.