Data engineering

Data engineering

Use Avenga’s comprehensive data engineering services to build and optimize various data usage and processing capabilities and potentially lay the groundwork for implementing analytics and predictive modeling. We build advanced tools that enable organizations to use data to its full potential.


IT decision-makers doubt their data infrastructure competitiveness


All digital data is still unstructured


Business leaders are accelerating their investment in data

How we work

We combine the industry’s best service delivery standards with unprecedented solution personalization practices.

Step 1

Write to us or book a meeting

We will respond within two hours and arrange a meeting with you at your earliest convenience.

1 working day
Step 2

Meet with our representative

An expert matching your market niche and industry will get in touch to discuss your requests and determine the next steps.

up to 7 working days
Step 3

Receive an offer

You will get a service suite offering, including time and cost estimates, for each of your project’s stages.

7+ working days
Step 4

Sign the contract

We start delivering the results while keeping you updated on the progress.

What we do

As an experienced data engineering company we help organizations ensure their data and data pipelines are always available, reliable, organized, and high-performing.


Obtain deep use-case-specific historical data and consolidate it all in one place for easier management. Reliable ETL and data streams are crucial for data reporting, analysis, and basically for any data processing. With vast expertise in generalizing ETL systems to various complex flows and real-time systems, Avenga builds complete and robust ETL pipelines and processes.

System integrations

We assist clients in selecting and leveraging the tools, techniques, and systems that fit their system integration requirements. Avenga works with data replication, virtualization, Enterprise Service Bus (ESB), SOA architecture implementation, stream data integration (SDI), and Change Data Capture, when moving information assets across a wide area network. We have ample experience in building secure, high-load, high-availability APIs and helping clients set up reliable architectures and integrations.

Data migration

Move data to a new storage or computing environment securely and cost-effectively. Our experts plan out and execute data migration projects seamlessly, no matter how complex a company’s data infrastructures are. To meet the needs of our clients fully, we always start with assessing the quantity of data, their timeframe requirements, and the types of workloads involved. Then, after a thorough analysis, we determine the most suitable migration option. Avenga provides assistance to firms’ in-house teams and, in other cases, handles the migration process entirely, including the testing and documentation phases. We have lots of experience with the most popular data migration tools and we can move your business-critical applications without any hiccups or downtime.


Increase data accuracy and efficiency end to end. Avenga helps clients adopt DataOps practices and promptly builds advanced DataOps platforms to solve data generation and processing issues. Our DataOps expertise enables companies in various industries to curate and manage their information assets more effectively. We also assist clients in achieving connectivity and optimization throughout the entire data lifecycle. With Avenga’s support, your organization will be able to derive actionable insights from your datasets so as to gain a competitive advantage.


Tap into reliable and efficient data handling with a robust relational database management system (RDBMS). RDBMSs help companies better manage and access information assets and incorporate data-driven insights into decision-making. When used correctly, they enhance the security of stored information and prevent data redundancy. With decades of experience, Avenga’s experts implement RDBMSs in a way that strengthens a company’s data integrity. We can build your business an RDBMS from scratch or embed optimizations into existing databases to enhance their performance.


NoSQL offers lots of flexibility; thus, it might be preferable to RDBMS in some cases. NoSQL is easy to use yet gives organizations speed and scalability. Being distributed, it also raises the availability and reliability of data without incurring high implementation costs. Avenga enables clients to build and leverage various types of NoSQL, including key-value, in-memory, document, graph, and column stores. We help organizations apply different NoSQL structures to enhance mobile and web development, big data management, BI, and analytics.

Choosing Avenga entails


Certified experts

Accredited business and tech development experts that ensure a business-focused approach.


Quick implementation

Velocity equally accompanied by quality is what our Agile approach boils down to.


Technology agnostic

A tech stack wide and expansive enough to erase the limits of flexibility during any project.



We can integrate your product with any required platform so that it moves your business forward.



Regardless of the industry, we build software that does not react to, but prevents cyber security and legal issues.



Avenga builds products with technologies that adapt to the client’s requirements, not vice versa.


Our strategic services are meant for those looking to reinvent their approach toward making technology benefit their business.

Avenga specializes in bringing incredible business ideas to life with the help of custom solution engineering services.

Andrii Stashko-Ziablietsov

Focus on your core busincess while Avenga takes comprehensive care of your system.

Delivered on the client’s terms and conditions, we provide staffing services that make a difference.


Avenga is a global technology partner for pharma and life sciences companies looking to gain or retain a competitive advantage by redefining the meaning of high-quality products and services.

Explore Pharma & Life Sciences


Global pharma companies chase digital transformation

2.5 bln

Expected life sciences software market growth by 2025

We harness technology in the insurance industry. Avenga uses a strategic framework to ensure long-term value for our clients.

Explore Insurance


Insurance back-office operations can be automated


Next-generation customers require omnichannel in-app experience

Digital solutions serving financial, banking, insurance, wealth management, and fintech institutions must meet the fast-changing industry’s needs by offering their clients velocity, security, adaptability, and innovativeness.

Explore Financial services


Enterprises using cloud financial solutions

40.6 bln

Predicted banking software market by 2029

Amid the automotive industry’s vibrant transformation into a technology-driven set of markets, Avenga offers its clients unconditional support in their digital endeavors.

Explore Automotive


Predicted OEMs’ software-based revenue by 2031


Forecasted CAGR for vehicle embedded software by 2026



Something’s unclear?

Frequently Asked Questions

Avenga's data engineers' main goal is building pipelines to bring together information from various sources. They're experts at integrating, consolidating, structuring, and, yes, cleaning data for further use in analytics, BI, and AI.

There are a few types of data engineers, though they all have a shared goal of preparing data for further use by data analysts and data scientists. There are generalist data engineers, pipeline-centric engineers, and database experts.

Avenga offers comprehensive data engineering services and our data engineers are the "logistics specialists" in our clients' data landscapes, so they build API, ETLs, and optimized SQLs. And, all of this is needed to access data in multiple source systems and move it seamlessly to target destinations.

Data engineers are responsible for the flow and consolidation of data. On the other hand, data modeling experts are concerned with creating representations of software systems (or parts of them) that illustrate connections between data objects and structures.


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