Data Engineering Services & Consulting Solutions
Make decisions without delay—the moment a challenge arises.
Assess potential risks based on business metrics.
Manage development systematically—taking all influencing factors into account.
for business intelligence succesfull implementation
Transform Your Business with Strategic Data Engineering Services
If your data management system doesn’t meet your business goals, you’ve been visiting in “yesterday” when your competitors are getting ahead. Data engineering consulting helps remove these limitations and create a foundation for sustainable growth.
Transform Raw Data into Actionable Business Intelligence
When data is stored in different systems, it does not provide a comprehensive view of the situation. Reports are generated with delays or require manual verification before they can be used. However, data engineering services make it possible to integrate various sources and establish a unified processing logic. As a result, the analytics become suitable for regular management decision-making.
Reduce Infrastructure Costs with Scalable Data Engineering
Infrastructure always expands along with data volume, but costs rise faster than the actual benefits. In such cases, some resources remain underutilized, and changes require additional investment. An optimized architecture allows for more efficient use of resources and better cost control. Therefore, transitioning to scalable data engineering reduces unnecessary costs.
Enable Advanced Analytics and AI/ML Capabilities
Analytical initiatives often stall at the idea stage due to unstable data structures. The data is not ready for forecasting or complex models. A properly engineered data foundation enables the use of advanced analytics and machine learning. When data is structured and stable, models deliver predictable and useful results.
Maintain Compliance with Enterprise-Grade Data Securitys
As a business grows, additional requirements for data protection and access control may arise. Managing policies and tracking changes can sometimes become complicated. A centralized architecture allows you to streamline access and security policies. As a result, data is controlled at every stage of processing in accordance with corporate requirements.
Who can’t wait another day for data engineering and processing services?
Financial Institutions and Banks
Do you process millions of transactions every day? Any delay in data processing could cost you money and damage your reputation.
E-commerce and Marketplaces
Do you track sales and customer behavior in real time? Without fast analytics, you risk losing your competitive edge.
Medical and pharmaceutical organizations
Do you work with patient data or research results? An error or delay can affect people’s lives.
Logistics and transportation companies
Do you manage routes and warehouses? Without rapid data processing, you lose efficiency and increase costs.
Telecom and IT platforms
Do you serve thousands of users every second? Unstructured data hinders the scaling and development of your services.
Government Agencies and Municipalities
Do you make decisions during crises? Without timely statistics and forecasts, you risk losing control.
Identify bottlenecks before they start impacting your business growth
Find out how urgently your business needs data engineering consulting services. Submit a request and receive a brief assessment: whether your current analytics meet your business objectives, where bottlenecks exist, and which changes should be prioritized.
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Our Core Data Cleansing Services for Your Business Success
We offer data engineering consulting services that can be provided as standalone services or as part of a comprehensive data management system—depending on your organization’s needs.
Data Pipeline Design, Development & Optimization Services
This is a comprehensive service that covers the entire lifecycle of information flows. It begins with defining the integration rules between systems—the analytical architecture will depend on them.
During development, it is important to organize the transformation of “raw” data into structured data ready for analytics. This includes ETL/ELT processes, configuring cloud services, and tools for continuous data loading.
A significant aspect of development is monitoring—implementing data quality control and performance tracking systems to ensure that data pipelines remain stable even as the workload increases. The final focus is on integrating the data collection system with business analytics. Ultimately, BI systems provide managers with up-to-date metrics in real time.
Cloud Data Infrastructure Engineering & Migration Consulting
These services help companies safely and efficiently transition from outdated or overloaded systems to modern cloud platforms. As part of our data engineering consulting solutions, we analyze the current architecture,
identify vulnerabilities, and develop a migration plan that takes into account business objectives and security requirements.
Next comes the practical part: developing a strategy for migrating data and processes to the cloud, selecting the optimal services (Azure, AWS, GCP, or hybrid solutions), and configuring the technical aspects. Data engineering consultancy also includes optimizing infrastructure costs and implementing monitoring and automation tools so that the company receives not just “migrated data,” but a stable, flexible, and scalable system.
ETL/ELT Process Engineering & Performance Optimization
This service provides businesses with fast and reliable data conversion into a format suitable for analytics. The development process involves creating and configuring data pipelines that automatically collect information from various sources,
clean it of errors and duplicates, transform it into the required structure, and load it into a data warehouse or analytics system.
A key stage of the service is performance optimization: we analyze how existing processes work, identify bottlenecks, and implement solutions to speed up processing. This may include parallel task execution, optimization of database queries, use of cloud services for scaling, and automation of data quality control. As a result, the company receives a stable system that operates quickly even as data volumes grow, and management decisions are made based on up-to-date and accurate data.
Big Data Platform Implementation & Strategic Architecture Consulting
These are comprehensive big data engineering services that cover both the technical and business aspects of information management. They include an audit of existing systems and processes to understand how the company currently collects, stores, and analyzes information.
Based on this, a strategic architecture is developed: key components of the big data platform are identified, along with methods for integration with existing systems and future scaling scenarios.
As part of our consulting services, we also develop an implementation roadmap—from selecting technologies (Hadoop, Spark, cloud services) to configuring data management, security, and access processes. Cost optimization is a key element: our data engineering experts help you understand which solutions will deliver the greatest impact with minimal investment. Additionally, the consulting service covers the organization of data-driven teamwork to ensure your analysts, engineers, and managers have a unified, consistent view.
Real-Time Data Processing & Streaming Analytics Solutions
A service that enables companies to process information instantly, without waiting for traditional “nightly” uploads or lengthy processing cycles. It involves building systems that collect data (transactions, sensor readings, customer actions) from various sources,
transform it “on the fly,” and immediately feed it into analytical tools.
This enables businesses to respond to events as they occur: financial companies detect fraudulent transactions before they are completed, e-commerce platforms see customer behavior in real time, and logistics companies optimize routes while on the move. Stream analytics also allows for forecasting based on current data rather than outdated snapshots. As a result, the company gains a competitive advantage—decisions are made faster, more accurately, and based on the full picture.
Data Governance Consulting & Quality Management Services
The service allows you to streamline data work and transform it from a set of disparate processes into a managed system with clear rules. As part of the consulting, an audit of current data flows is conducted, points of error, duplication,
and loss of information are analyzed, and quality standards and data access rules are determined at the level of the entire organization.
The work includes building practical mechanisms: data verification and cleaning at the processing stages, control of the consistency of indicators between systems, setting up quality monitoring, and metadata management. We pay special attention to roles and responsibilities—who is responsible for the indicators, how the calculation logic is recorded and how changes are controlled.
As a result, the company receives not only tools but also a clear data management model: indicators become reproducible, data consistent, and analytics suitable for making management decisions without additional verification.
Why Choose Cobit Solutions for Data Engineering Services
As a data engineering consulting company, we combine architectural vision with the practical implementation of solutions. Our approach allows us not only to identify the right data model but also to ensure its smooth implementation in line with business objectives.
Deep technical expertise in modern data engineering technologies
We are never limited to one approach or tool. We work with different architectural models – from classic data warehouses (DWH) to lakehouse solutions and streaming systems. This flexibility allows us to build exactly those solutions that meet specific business conditions: load, data type and processing speed requirements.
Business-Aligned Solutions Designed for Your Specific Goals
Each proposal is formed by us taking into account management tasks: which indicators should be available, how quickly, and with what accuracy. We consider industry specifics, data scales, and strategic goals so that the solution is not only technically correct but also practically useful for making management decisions.
Comprehensive Consulting from Architecture Design to Deployment
We offer turnkey services: from analyzing your current system to implementation and ongoing support. This helps bridge the gap between strategy and execution and eliminates the need to hand off the technical project to other teams.
Scalable Cloud Infrastructure with Built-in Cost Optimization
We design an architecture that is ready for future growth — both in terms of data volume and number of users. To optimize costs, we use cloud services with automatic resource allocation and performance monitoring. This avoids overcharging for “excess” capacity and ensures efficient use of infrastructure.
Cutting-Edge Technologies and Tools We Use in Data Engineering Projects
In 70–80% of cases, systems require a major overhaul after a few years. The reasons include the lack of a unified architecture, the accumulation of incompatible changes, and inconsistencies in calculation logic. However, we build in an architecture from the start that can accommodate growth without losing manageability and does not require drastic changes in the future.
Get a powerful analytics system that reduces future maintenance costs starting at $80/hour
Work with leading data engineering consultants to stabilize performance, accelerate data processing, and build a scalable architecture. Get a free estimate of implementation costs and timelines.
Cutting-Edge Technologies and Tools We Use in Data Engineering Projects
Modern data engineering systems require not just individual tools, but a cohesive technological environment for collecting, processing, storing, and transmitting information. Cobit Solutions’ data engineering experts combine platforms and services so that the architecture can handle increasing workloads, support various analytics scenarios, and remain manageable in the long term.
Our stack for data engineering projects covers the following technology areas:
Cloud platforms. We work with AWS, Microsoft Azure, Google Cloud Platform, and Microsoft Fabric to build infrastructure that meets performance, security, and scalability requirements.
Storage solutions and lakehouse environments. We use Azure Data Lake Storage, AWS S3, Snowflake, Databricks, and Microsoft Fabric to store large volumes of data, distribute the load, and support analytical scenarios of varying complexity.
ETL/ELT and process orchestration. Azure Data Factory, AWS Glue, SSIS, dbt, Apache Airflow, and Oracle Data Integrator enable you to manage processing flows, automate updates, and control dependencies between tasks.
Big data processing. Apache Spark, PySpark, and Databricks are used to transform large datasets that require high performance, parallel processing, and flexible handling of various formats.
- Streaming processing and real-time scenarios. Apache Kafka and AWS MSK help organize event transmission and continuous data processing in scenarios where response speed and data flow stability are critical.
- Relational, NoSQL, and specialized databases. We work with PostgreSQL, MySQL, MariaDB, Microsoft SQL Server, Oracle, MongoDB, Redis, and Neo4j when a project requires different approaches to structure, access speed, and query types.
- APIs and integration services. API integrations, OpenAPI, Power Automate, and Power Query are used to connect external systems, synchronize business processes, and transfer data between platforms.
- Quality control of models and processing results. We use SQL models, tabular models, DAX, BI tools, and pipeline-level validations to track the accuracy of calculations, consistency of metrics, and stability of results.
We always tailor our technologies to the architecture, workload, data source types, and system development requirements. Furthermore, we never rely on a one-size-fits-all approach.
Market leaders choose our data engineering services
Healthcare
“Dobrobut” clinics network
Result:
- Clinic's directors got daily updated P&L report;
- The management uses daily dashboard with budget/actual analysis on operational indicators;
- Dashboards combine data from ERP and the Doktor Eleks medical system.
Logistics
Meest China
Result:
- Dashboards combine data from ERP and CRM;
- Routes margin is automaticaly calculated in dashboards and monitored every day by management;
- Daily generated Profit & Loss report;
Manufacturing
Steelite International USA
Result:
- Automated reporting, reducing turnaround from 10 days to overnight.
- Scaled visibility from regional to global (US, UK, Canada, Europe, Australia).
- Centralized data enabled data-driven decisions on a weekly cadence instead of monthly.
Industry-focused case studies designed for your needs
Get a brief, free consultation to determine the best way to modernize your infrastructure
In just 30 minutes, our data engineering experts will analyze your current system, identify where you’re losing control, and pinpoint risks in your metrics. They recommend what needs to be changed first and determine whether it makes sense to make any changes at all.
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FAQs About Data Engineering Services & Consulting Solutions
What does your end-to-end data engineering consulting process entail?
Our process covers the entire lifecycle: from auditing existing systems and defining business objectives to designing the architecture, developing, and optimizing data pipelines. We create a roadmap, implement technical solutions, set up monitoring, and ensure integration with BI systems. And in the final stage, we provide ongoing support to ensure your system remains stable and scalable.
Before starting work, we conduct an audit: we assess the structure of the arrays, the level of contamination, and quality requirements. Based on this analysis, we provide a transparent calculation — per record, per package, or per project, depending on which format is most convenient for your company.
How quickly can your data engineering consultants provide recommendations?
You’ll receive your first recommendations right after the initial audit — usually within 1–2 weeks. This allows you to quickly identify priorities and start addressing critical bottlenecks without waiting for the entire project to be completed.
In which industries do your data engineering consulting experts specialize?
We work with various sectors, but we have the most experience in:
- financial companies and banks,
- e-commerce and marketplaces,
- healthcare and pharmaceuticals,
- logistics and transportation,
- telecom and IT platforms,
- the public sector.
This allows us to tailor solutions to the specific needs of each industry.
Can your data engineering services migrate our legacy systems to a modern cloud infrastructure?
Yes, this is one of our key competencies. We analyze your current architecture, develop a migration plan, select the optimal cloud services (Azure, AWS, GCP), and securely migrate data from your sources to the cloud. As a result, you get a modern, flexible, and scalable infrastructure.
Do you provide big data engineering services for analytics and real-time processing at scale?
Yes, we implement solutions for real-time streaming processing and analytics. This enables companies to respond to events instantly, from detecting fraudulent transactions to optimizing logistics on the fly. Our systems scale to handle large volumes of data and ensure stability even during peak loads.
What is the typical ROI timeframe when working with your data engineering consulting team?
ROI depends on the scale of the project and the industry, but initial results are usually noticeable within 3–6 months. These may include infrastructure cost savings, reduced data processing times, fewer errors, or faster management decision-making. In the medium term (6–12 months), the investment pays off through improved business process efficiency and increased competitiveness.