We build the data infrastructure that makes everything else possible, from 40+ industrial protocol ingestion to cloud-hosted data warehouses with governance frameworks.
Before any dashboard can be built, any model can be trained, or any report can be generated, data must flow, reliably, securely, and at scale. Data engineering is the unseen foundation that makes every analytics, AI, and reporting capability possible.
excite-data's data engineering team specialises in industrial environments, where data comes from PLCs, SCADA systems, OPC-UA servers, historians, and ERP platforms simultaneously. We design and build pipelines that bring all of this data together, clean it, validate it, and deliver it where it needs to go, whether that's a cloud data warehouse, an on-premises historian, or a real-time analytics engine.
Discuss Your Data InfrastructureEnd-to-end pipeline architecture, from data source to data store, built for reliability, scalability, and maintainability.
Native integration with OPC-UA, ModBus, MQTT, Profibus, and 40+ other industrial protocols used across mining and manufacturing.
Structured migration of on-premises data infrastructure to AWS, Azure, or GCP, with hybrid architectures where needed.
Policies, cataloguing, lineage tracking, and access controls that ensure your data is trusted, compliant, and well-managed.
Industrial data environments are not simple. We have the expertise to handle the protocols, the volumes, and the edge cases.
Schemas, semantics, SLAs, and quality rules versioned as code between data producers and consumers, so quality is enforced at the boundary instead of repaired downstream.
Bronze, silver, and gold layers on Databricks or open table formats: raw fidelity preserved, curated data governed, and analytics served from a single reliable spine.
Structured, low-risk migration onto Databricks, Redshift, SQL Server, or MongoDB, with PySpark pipelines and Databricks Asset Bundles giving your data platform real CI/CD.
Direct integration with control systems and PLCs over OPC-UA, ModBus TCP/RTU, MQTT, and 40+ field protocols. The plant floor is a first-class data source, not an afterthought.
Kafka and MQTT streaming pipelines that deliver sensor and operational data in real time to dashboards, alerting, and downstream models.
Lineage, cataloguing, access control, and a semantic layer that gives the whole business one governed vocabulary for its metrics. POPIA-aware by default.
Talk to our data engineers about your current infrastructure challenges. We'll assess your environment and propose a practical path forward.