Data Architecture Consultant with Enterprise Experience

We help companies lay a foundation that can easily adapt to new business challenges and technologies. Flexible data architecture enables scaling without the risk of losing control. It also creates space for integrating modern analytical tools and solutions. This simplifies connecting new sources, expanding reporting, and launching additional services.

We develop strategies that take into account your specific business goals and key performance indicators. Each decision is aligned with your KPIs so that data works to achieve measurable results. The architecture is aligned with team roles, management models, and decision-making processes. And you get a system where data works to achieve your business results.

We design data architecture with information security requirements and regulatory standards in mind. Our solutions always comply with internal company policies and industry standards. Access control, rights management, and change transparency are built into the architecture. You get a controlled environment where data remains secure throughout its entire lifecycle.

This solution is suitable for companies that work with ERP, CRM, CMS, HRIS, marketing and financial platforms and want to bring all data into one repository or reporting system. We map fields, unify formats, detect conflicts (duplicates, inconsistencies, data format, etc.), and set up regular updates — by event, schedule, or in real time.

In the process, we develop an optimal architecture tailored to the client’s scale and needs. This may include the ETL process development or combined API-based approaches, depending on the type of systems and integration goals.

We offer expert consulting to help you create a data architecture that can grow with your business. Our solutions take into account modern technologies and practices to ensure system stability and flexibility. They adapt to new tasks, directions, and volumes of information. As a result, you get an infrastructure that easily remains stable in changing conditions and supports the integration of innovative tools.

Quality assurance involves integrity checks, implementation of control mechanisms, logging, validation at each stage, and failure notifications. This helps to avoid information loss, errors in reports, and unstable operation of connected systems. As a result, ETL as a service allows businesses to get a turnkey solution for data transformation without the cost of maintaining a complex infrastructure.