Data Lake Engineering Services for Modern Organizations
Store raw data from databases, social networks, or devices until it is needed.
Ensure reliable storage of large amounts of information in a corporate repository.
Prepare for business scaling — get access to any data at the right moment.
for business intelligence succesfull implementation
The 4 Key Benefits Of Enterprise Data Lake Engineering Services
Where data drives decisions, a new level of analytics begins. Enterprise Data Lake provides access to raw data in real time, gives you the freedom to scale, and transforms the chaos of information flows into a manageable system of decisions.
Turning Data into a Valuable Business Asset
The main advantage of a data lake is the ability to store large amounts of data without immediate processing. After all, this requires human and financial resources. In addition, there is data that is not important today but may become critical in the future. With custom data lake engineering services, you can transform disparate data from CRM, ERP, or IoT streams into a strategic resource.
Accelerate Analytics and Smarter Decision-Making
Today’s companies work with vast amounts of information — transaction logs, user behavior data, device telemetry, marketing metrics, and more. And the faster this data is processed, the more competitive advantage a business has over its competitors. Our engineers can design storage architectures in such a way that your teams quickly get the answers they need for strategic decisions.
Achieve Scalability with Cost Optimization
Increasing amounts of information invariably lead to higher costs for its storage and processing. However, these costs can be optimized and controlled. Our cloud data lake engineering services include building and maintaining storage facilities that automatically expand according to volume and load. You only pay for the resources you actually use and get a stable system that easily expands as your business grows.
Ensure Compliance and Enterprise-Grade Security
The storage of confidential data is regulated by industry and international standards. This may include financial accounts, customer personal data, and commercial documents. We develop Data Lake architecture in accordance with GDPR, SOC 2, ISO 27001, and other standards so that companies can operate without any risks. Get a secure environment for working with critical information. After all, this has a positive impact on the trust of customers and partners.
Our Core Data Lake Engineering Services and Solutions
We don’t just implement storage — we lay the foundation for stable analytics, rapid integration, and continuous business development.
End-to-End Data Lake Implementation Services
- Analysis of business needs and selection of optimal architecture.
- Building cloud storage with scalability in mind.
- Configuring data flows and sources.
- Implementing access and security policies.
- Documenting the structure for future support.
Cloud Data Lakes Engineering Services for Business Growth
- Designing storage architecture with business goals in mind.
- Setting up scalable infrastructure for data storage and processing.
- Integration with analytics platforms and BI systems.
- Implementing access control and security mechanisms.
- Optimizing resource costs through automatic load management.
Secure Data Lake Migration and Seamless Integration
- Audit of current infrastructure and assessment of migration risks.
- Data transfer with preservation of integrity and historical structure.
- Data transfer with preservation of integrity and historical structure.
- Configuration of data flows without interruptions in operation.
- Implementation of monitoring and recovery mechanisms in case of failures.
Advanced Data Lake Analytics and Visualization Services
- Configuring streaming and batch data processing.
- Creating models for business analytics and forecasting.
- Integration with BI platforms for visualization of metrics.
- Optimizing queries for quick access to large arrays.
- Automatic notifications when indicators change.
Intelligent Storage Optimization for Data Lakes
- Data structure analysis to identify excess volumes.
- Automatic resource scaling based on load.
- Implementation of data lifecycle policies (archiving, deletion).
- Optimization of data storage costs through segmentation and storage compression.
- Storage performance monitoring with recommendations for improvement.
Testing and Automation for Reliable Data Lakes
- Data integrity verification after integration and migration.
- Automated testing of ETL processes and processing flows.
- Implementation of load testing scenarios.
- Monitoring of storage stability and performance.
- Configuration of automatic notifications about failures and deviations in operation.
Hire Expert Data Lake Engineers Starting at 50 USD/h
Engineers who don't just write code — they build the analytical foundation of your business.
Advantages Of Getting Custom Data Lake Development Services From Cobit Solutions
We work proactively — our architecture takes into account not only current tasks, but also those that will arise in a year. This is engineering that does not require reworking when the business changes direction.
Maximize Time and Cost Efficiency
We design data storage systems to work stably and quickly, while allowing you to spend less money. The systems we create automate routine tasks such as data updates, integrity checks, system access management, and cleaning up outdated information. This helps reduce the workload on the team and optimize service maintenance costs.
Solutions Tailored to Your Specific Needs
We create storage architecture for specific industries. In doing so, we take into account the size of the company, business goals, data specifics, and analytics requirements. This allows us to provide you with a solution that fits your unique processes. For example, it supports daily updates of financial reports, integrates with a CRM system, processes historical data for the last 5 years, and builds real-time forecasts.
Governance-First Approach to Data Management
Our engineers configure the system so that it is convenient for all team members to work with. We implement clear access rules, clear classification, and data quality control tools. For example, the system automatically separates financial, operational, and personal data and restricts access to team members by role. It separately records all changes for auditing purposes. This allows business managers to maintain order in storage and quickly find the data needed for decision-making.
Cloud-Native and Fully Scalable Engineering Services
We provide cloud data lakes engineering services that adapt to changes in load, data volumes, and business priorities. The architecture of such storage facilities is easily scalable — both for local projects and global systems. For example, data lakes automatically expand during seasonal peaks, support parallel processing of large amounts of information, and integrate with external services (CRM systems, payment gateways, BI platforms) without any disruptions.
Cutting-Edge Technologies and Tools We Use in Data Lake Projects
We use proven cloud platforms, analytical services, and integration tools that ensure stable storage, fast data processing, and flexible visualization.
- Microsoft Azure Data Stack. Used to build cloud infrastructure, store, and process large amounts of data.
- Power BI. The main platform for visualization, building analytical dashboards, and integration with ERP, CRM, API.
- Azure Data Factory. A tool for ETL processes, automatic loading, transformation, and updating of data.
- Azure SQL Database / Analysis Services. Used to build analytical models, process queries, and store aggregated data.
- DAX (Data Analysis Expressions). A language for creating calculations, metrics, and logic within Power BI and Analysis Services.
- API integrations. Jira, Amazon Seller Central, and ERP systems provide a direct connection to external data sources for real-time analytics.
- Excel as a source and interface. Used for integration with Power BI models, building reports, and working with data.
- QlikView. Used to visualize budgets and data from ERP in complex systems.
Contact us if you need data lake engineering services tailored to your sources, analytics, and internal policies. We cover the entire cycle — from developing a data management strategy to building dashboards.
Meet Our Team Of Experienced Data Lake Engineers
With 150 years of combined experience, they turn complex data flows into simple business solutions.
Dmytro Chashnyk
Founder
Expert in IT with 19 years of experience.
10 years on CIO/CTO positions.
Certifications:
- Management
- Power BI Analytics
- IT systems administration
Volodymyr Bondarchuk
Managing Partner
& Finance PM
10 years of experience in finance and consulting in large companies and holdings, experience in IFRS
Certifications:
- DIPIFR
- Auditor Certificate A
- Power BI analytics
Denis Chernov
Finances PM
7 years of experience in Finance in large companies, CAP
Certifications:
- DIPIFR
- CIMA Performance
- Management
- Power BI analytics
Oleksandra
Head of Marketing
Iryna
Chief Business Officer
Dana
Customer Relations Manager
Developers
Technologies used:
- Microsoft Power BI
- DAX, PowerQuerry
- SQL, API
- SSAS, SSIS
- DWH, ETL
- MicroStrategy BI
- Python, C#, C++
- Azure, AI, ML
- Web Scrapping
- Power Automate
Clients Like Our Data Lake Engineering Services
We have helped businesses across various industries build reliable storage solutions that are easily scalable and support analytics without delays.
☑️ Quick onboarding and initial results in just 2 weeks
☑️ Experienced team of 25 dedicated professionals
☑️ Over 6 years of expertise in the industry sector
☑️ More than 70 happy clients across 5 countries
☑️ Our services are priced 25% more effectively than W2 payroll or contractors
☑️ Comprehensive solutions: we handle everything from strategy to reporting in-house
KEY FIGURES OF THE COMPANY
457
dashboards created in 2024150+
years of IT experience among employees20
data experts & BI consultants12B
USD annual revenue of clients that utilize our analytics solutionsLet’s Build a Custom Data Lake Strategy for Your Organization
While your competitors are manually analyzing yesterday's data, we help you influence the market today.
Or text us via Messenger
FAQ on Data Lake Engineering Services
How can data lake engineering services benefit my business?
We help companies consolidate various sources of information, including CRM, ERP, API, Excel, and others. This allows you to create a convenient infrastructure for analytics. In it, information is not duplicated, is not lost, and is also processed automatically. This not only provides the opportunity to obtain objective data in real time, but also provides the business with a single source of reliable information. It can be used to base accurate reports, analyze indicators, and predict results.
Can you build a custom data lake for my business?
Yes. We tailor the storage architecture to your industry. We take into account your data types, business goals, and your internal policies. During an initial consultation, you outline your key requirements, and then we develop a technical model that takes into account all parameters from day one of creating the repository.
What is the typical timeline for data lake implementation?
The duration of the project depends on the volume of data, the complexity of integrations, the selected infrastructure, etc. However, you will see the first results in just two weeks. Full implementation usually takes three to eight weeks.
In some large-scale projects with multiple environments, large amounts of data, and complex integrations, the process can take several months. But even then, the system is built in stages so that the business can start reaping competitive advantages even before all the work is completed.
How do you guarantee security and compliance in data lakes?
We implement a multi-level protection system that covers data access, storage, processing, and auditing. The Data Lake architecture includes:
- Role-based access control — each user sees only the data necessary to perform specific functions.
- Data encryption occurs both at rest and in transit, in accordance with ISO 27001 requirements.
- Audit trail and logging — all queries and changes are recorded for internal control and external audits.
- Data classification — personal, financial, and operational data are marked and processed in accordance with policies.
- Compliance with standards is ensured in accordance with GDPR, SOC 2, and ISO 27001 requirements, depending on jurisdiction and data type.
This helps prevent leaks, ensure transparency, and meet the requirements of regulators and internal company policies.
Do you offer ongoing support after data lake implementation?
Yes. We provide technical support, model updates, stability monitoring, and adaptation to new sources. So you can focus entirely on growing your business, rather than constantly searching for specialists or keeping them on staff.
Turn Data into Actionable Insights with Data Lake Engineering Services