Fragmented data platforms, limited in-house expertise, and data quality concerns can hinder businesses from making the timely and data-driven decisions required to stay competitive. Our end-to-end data engineering services eliminate these challenges by improving how you manage your data at every stage of the data lifecycle.
From data collection and transformation to AI-enhanced analytics, our scalable solutions turn your raw data into business results. As your data engineering service provider, Intellias will cut your time to insights, improve your data accuracy, and increase user adoption across your company.
Base business choices on empirical evidence
Extract more insights and value from existing data
Enable data flows between departments for a holistic view
Implement governance processes to mitigate potential issues
Use quality data for product development and customer retention
Our end-to-end data engineering consulting services allow you to build resilient pipelines for high-quality data delivery through our D.R.E.A.M Framework
D
Evaluate your data landscape to identify opportunities, assess infrastructure readiness, and streamline data processes.
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Create a data strategy that prioritizes conformity, governance, and privacy; AI/ML integration; and low-code technologies for an efficient data flow, from ingestion to analysis.
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Set up data infrastructure, platforms, and pipelines, deploying real-time observability tools for effective data workload management and self-service access.
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Feedback and performance metrics analyzed to adjust strategy and implementation to optimize performance
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Address governance, literacy, cataloging, lineage tracking, and quality management with ongoing updates and support.
We combine our data engineering consultancy with strong tech partnerships, offering you flexible access to the best-fitting solutions without lock-in.
We understand the unique data challenges in your field. Our data engineering consultants help you create data solutions that add value and meet your industry requirements.
Say goodbye to data chaos! Our technical advisory and digital solutions help you generate insights quickly, enabling smarter decisions across your organization.
Save money and minimize errors by automating data flows. This frees your teams from manual tasks, allowing them to be more productive with key activities.
Build a strong data ecosystem that scales with your business. Our resilient high-end solutions tackle current challenges and prevent expensive updates down the line.
Ensure your data practices are solid and compliant. This helps you follow regulations, lower risks, and build trust in your data-driven decisions.
3200
experts
22
years of digital consulting and engineering
14
delivery locations
100+
completed data projects
Rostyslav Fedynyshyn
Head of Data and Analytics, Practice Leader
Rostyslav is a results-driven Head of Data & Analytics Practice at Intellias with nearly 10 years of comprehensive experience in Big Data, Analytics, management, and consulting. He is recognized for expertise in building robust data strategies, implementing effective data governance frameworks, overseeing seamless cloud migrations, and orchestrating the development of cutting-edge Data & Analytics platforms. Rostyslav holds distinguished certifications as an AWS Certified Solutions Architect Professional and SEI Software Architecture Professional. He also has a proven track record as a seasoned Data Solutions Architect across diverse domains.
Eugene Berko
Director of Technology Practices
Director of Technology Practices at Intellias with 13+ years of experience in software engineering, management, and consulting. The area of Yevhen’s responsibility is the company’s technology offering in the fields of Data & AI, Cybersecurity, IoT, Cloud & DevOps, Support, Intelligent Automation, Business Applications.
Driven by passion for learning and making a difference, Yevhen is also a firm believer in flexibility and providing a unique solution to each problem rather than following 300+ page frameworks. He often speaks publicly and is interested in the topic of using Generative AI to solve real-world business problems as well as the art and science of governing AI.
Viktor Sokolov
Head of Data Governance Unit
Viktor brings 20 years of expertise in data and analytics, with a strong focus on the finance, retail, and wireless communications sectors. His key areas of specialization include data governance, data warehouse development, data modeling, and the implementation of BI systems for large-scale data environments.
As the Head of the Data Governance Unit at Intellias, Viktor works with clients to implement strategic frameworks that ensure regulatory compliance, uphold data integrity, and maintain high standards of data quality.
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