Data engineering

Data engineering
services

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. Avenga’s data engineering solution includes the development of a modern data architecture, integrating data warehouse and data lake capabilities to ensure high data quality and governance. Our data engineering consulting services focus on automated data processes and data storage optimization, setting a strong foundation for your data platform and aligning it with your overarching data strategy. This comprehensive approach enables organizations to effectively manage and utilize their data, paving the way for advanced data analytics and data science applications.

Avenga - Global Technology

43 %

IT decision-makers doubt their data infrastructure competitiveness

80 %

All digital data is still unstructured

92 %

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.

Valentyn Zubenko

ETL/ELT

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. Avenga’s data engineering team specializes in creating efficient data pipelines that can handle large data sets and multiple data sources, ensuring seamless data integration and transformation. Our approach to data engineering involves advanced data pipelines that are scalable and flexible, catering to the unique needs of your enterprise data management.

Valentyn Zubenko

Engineering Director

Choosing Avenga entails

1

Certified experts

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

2

Quick implementation

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

3

Technology agnostic

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

4

Flexibility

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

5

Compliance

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

6

Adaptability

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

Services

Pavlo Domanskyy

SVP of Global Engineering

Pavlo Domanskyy

Pavlo Umanets

VP Information Technology and Information Security

Andrii Stashko-Ziablietsov

Director of Technology Consulting

Andrii Stashko-Ziablietsov

Paulina Stochel

Business Unit Director

Paulina Stochel

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

Industries

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

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$ 2.5 bln

Expected life sciences software market growth by 2025

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78 %

Global pharma companies chase digital transformation

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

Explore Insurance

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60 %

Insurance back-office operations can be automated

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50 %

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

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$ 40.6 bln

Predicted banking software market by 2029

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58 %

Enterprises using cloud financial solutions

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

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$ 620 bln

Predicted OEMs’ software-based revenue by 2031

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8.1 %

Forecasted CAGR for vehicle embedded software by 2026

Blog

Reviews

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.

Ready to innovate your business?

We are! Let’s kick-off our journey to success!

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