Data & Analytics Data Engineering Data ready for use, at scale, with quality and reliability We structure the technical layer that gets data to the right place, in the right format, in time to become a decision Talk to a specialist Data & Analytics The foundation nobody sees is what supports everything everyone uses. A wrong dashboard, an inconsistent metric, a number that changes depending on who pulls the report: in most cases, the problem is not in the visualization tool. It comes before it. Data engineering is the work that happens before the dashboard exists: mapping where each number comes from, ensuring the transformation is correct, that the refresh is reliable, and that anyone who needs to audit the result can trace where it came from. Cluster treats this work with the same care it gives to the final screen design, because data built well at the foundation is what makes BI reliable, the conversational agent accurate, and automation safe. SPECIALTIES What we deliver We build and organize the technical layer that connects data sources, transforms information, and prepares everything for analytics, dashboards, products, and automations. Source and dependency mapping and consistency validationInventory of systems, APIs, internal databases, and vendors, with traceability of where each piece of data originates and how it transforms along the way. Reliable and scalable ETL/ELT pipelinesData ingestion, transformation, and loading with monitoring, failure handling, and continuous updates, without relying on manual processes or intermediary spreadsheets. Analytical modeling and data layersStructuring of tables, semantic layers, and dimensional models ready for use in BI, dashboards, and AI applications, with consistency across sources and departments.