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.
Extract, transform, and load pipelines built with Apache Airflow, dbt, and custom Python — designed to handle industrial data at any scale.
Direct integration with industrial control systems and PLCs using OPC-UA, ModBus TCP/RTU, MQTT, and other field protocols.
Star schema and medallion architecture data warehouses built on PostgreSQL, Snowflake, BigQuery, or Synapse — designed for analytics workloads.
Structured, low-risk migration of data infrastructure to the cloud — with full documentation, testing, and cutover support included.
Kafka and MQTT-based streaming pipelines that deliver sensor and operational data in real time to dashboards and alerting systems.
Data dictionaries, lineage tracking, quality validation, and role-based access controls that make your data trustworthy and auditable.
Talk to our data engineers about your current infrastructure challenges. We'll assess your environment and propose a practical path forward.