Dmitry Dayts is a principal-level analytics engineer specializing in end-to-end smart analytics development, from data integration and transformation through governed semantic modeling, analytical applications, and high-impact visualization.

 He architects modular, scalable data foundations that standardize business logic across BI, analytics, and AI, while building tooling and automation that accelerate delivery.

 His work combines deep analytics engineering expertise and AI-native capabilities to turn complex enterprise data into trusted, actionable intelligence.

Integrating Data Sources

DAG orchestration and dbt-driven data integration using multi-domain architecture, providing scalable, governed access to structured and semi-structured data across products and platforms.

Smart Dashboards

Intuitive dashboards and applications surface insights, visualize trends, and enable users to ask questions in plain language, turning those answers into better decisions with clarity, speed, and confidence.

Advanced Analytics

Contextual Data Model (CDM) architected for grounded inference, enabling trusted root-cause analysis, narrative intelligence, and cross-source reasoning that transforms complex information into actionable insights.

Dynamic Alerting

Information is dynamically pushed based on criteria, providing users with time-sensitive insights and anomaly detection alerts that enhance situational awareness and accelerate response times.

Viewport Agnostic

Form and function blend cohesively across viewports, offering an immersive analytics experience that engages through responsive design, making analytics accessible where decisions are made.

Agile Framework

With speed and scale at the core of modern analytics architecture, agile methodology drives adoption, accelerates innovation, feature and component enhancement in dynamic business environments.

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