We build the data infrastructure that transforms raw operational data into reliable, queryable intelligence — pipelines, warehouses, and analytics layers that your entire organisation can trust and act on.
Dimensional modelling, star and snowflake schemas, and semantic layer design on Snowflake, BigQuery, or Redshift. Built for query performance and analytical flexibility from day one.
Batch and streaming pipelines using dbt, Fivetran, and custom Spark jobs. Incremental loads, CDC patterns, and idempotent transformations that make reruns safe and cheap.
Looker, Metabase, and Tableau implementations with governance models, certified metric definitions, and embedded analytics that put decision-relevant data directly in your product.
Kafka and Flink pipelines for event-driven analytics, fraud detection, and operational dashboards. Sub-second latency from event emission to business intelligence — no batch delay tolerated.
Delta Lake, Apache Iceberg, and Hudi table formats on S3 or GCS — giving you warehouse-grade ACID transactions over your data lake without the lock-in of a managed warehouse.
Great Expectations and Monte Carlo integration for automated data quality testing, anomaly detection, and lineage tracking across every table in your warehouse. Know when data breaks before your users do.
Trackou had data scattered across six SaaS tools with no single source of truth. We designed a Snowflake data warehouse, built automated dbt pipelines from every source, and delivered a Looker semantic layer that cut analyst query time from hours to seconds.
Tell us about your data challenges and we'll design a platform that turns them into your competitive advantage.