Reliable insights require reliable pipelines. At USPC, we build scalable, resilient, and secure data engineering frameworks that power your entire data ecosystem—from ingestion to real-time delivery.
We turn raw data into trusted, production-grade assets ready for analytics, AI, and automation.
Build secure, event-driven or batch data ingestion pipelines using Azure Data Factory, Synapse Pipelines, Microsoft Fabric Dataflows, and native connectors.
Design and deploy real-time data pipelines using Azure Stream Analytics, Kafka, or Fabric Eventstream for time-sensitive analytics and operational dashboards.
Implement robust data wrangling, cleansing, and schema standardisation using PySpark, T-SQL, and DAX—aligned with medallion or star-schema models.
Automate complex workflows with triggers, dependencies, retry logic, logging, and scheduling using tools like Fabric, Synapse, or dbt Cloud.
Integrate data quality checks, logging, and alerting to ensure pipelines are auditable, traceable, and easy to support in production.
Deploy pipelines, storage, and compute environments via Bicep, Terraform, or Azure DevOps for version-controlled, repeatable engineering environments.
Empower your brand with AI transformation, with effective big data analytics, protected by first class actionable cyber security.
We help you achieve and maintain ISO 27001 compliance to benchmark your ISMS with security best practice
Built AI transformation programmes with AI governance operating models aligned with ISO 42001 and EU AI Act
We help you achieve Data-as-a-Product transformation using data mesh and data fabric architecture and unlock insights with Ai-driven data analytics