Enterprise Data Architecture
for Houston's Complex Industries.

Energy & Oil and Gas

ExxonMobil, Shell, Chevron, ConocoPhillips, Halliburton, Baker Hughes, SLB — Houston is the energy capital of the world. We bridge operational technology (OT) and IT data: OSIsoft PI historians, SCADA feeds, field sensors, SAP and Oracle ERP, commodity trading systems, and regulatory reporting — unified in a single governed Azure data platform.

Texas Medical Center

The world's largest medical complex — MD Anderson Cancer Center, Houston Methodist, Memorial Hermann, Baylor College of Medicine — operates clinical research, patient care, and operational data at extraordinary scale. We build HIPAA-compliant data platforms with Epic/Cerner integrations, clinical trial data management, and federated access architecture for affiliated institutions.

Aerospace & Defense

NASA Johnson Space Center, Boeing, Lockheed Martin, and Raytheon generate mission-critical data environments with strict security requirements. We design data architectures that meet federal contractor compliance requirements (DFARS, CMMC) while enabling the operational analytics and reporting these organisations need.

Petrochemical & Manufacturing

LyondellBasell, Huntsman Corporation, and the Houston Ship Channel industrial complex run some of the most data-intensive manufacturing operations in North America. MES systems, process historian data, quality and safety reporting, and supply chain analytics all converge in environments that need industrial-grade data architecture.

OT/IT Data Integration

Connecting operational technology — PI historians, SCADA, MES, IoT sensors — to your IT data platforms. We design the ingestion architecture, data quality checks, and transformation pipelines that turn raw operational data into governed, queryable assets.

Data Platform Architecture

Modern medallion architecture (Bronze/Silver/Gold) on Azure Data Lake Storage Gen2, Databricks, and dbt. Designed for both current BI reporting and the AI/ML workloads energy companies are investing in for predictive maintenance and optimisation.

Cloud Data Engineering

End-to-end Azure data engineering: ADF pipelines, Synapse Analytics, Delta Lake, Event Hubs for real-time data. We build the infrastructure for the architecture we design.

Data Governance & Lineage

Microsoft Purview data catalog, Unity Catalog for Databricks, complete data lineage tracking, and classification policies. For regulated industries, data lineage is not optional — it is an audit requirement.

AI-Ready Data Foundation

Feature pipelines for predictive maintenance, reservoir modelling, and production optimisation use cases — built on the same governed data platform your finance and operations teams use for reporting.

Data Architecture Audit

A 2–3 week diagnostic of your current data estate. We map every data source, identify the architectural gaps, and deliver a prioritised roadmap — before committing to build scope.

Day Rate

From $1,500/day

Architecture, design, and hands-on data engineering

Project

From $12,000

Scoped data platform builds and OT/IT integration projects

Managed Data

From $5,500/mo

Ongoing data engineering and platform management

Do you have experience with energy sector data architecture — PI historians, SCADA, OT/IT integration?

Yes. We have built data architectures that bridge operational technology (OT) and IT for upstream, midstream, and downstream energy operations. This includes integrating OSIsoft PI historian data, SCADA systems, and field sensor feeds into modern Azure data platforms — alongside financial, trading, and ERP data from SAP and Oracle. Houston's energy companies run some of the most complex OT/IT integration challenges we encounter.

Can you build data architecture for healthcare organisations at Texas Medical Center?

Yes. The Texas Medical Center — the largest medical complex in the world — operates data environments of extraordinary complexity. We build HIPAA-compliant data platforms connecting Epic and Cerner EMR systems, clinical trial data, insurance claims, and research databases into unified architectures with appropriate access controls for clinical, research, and administrative use cases.

What is involved in modernising an energy company's data architecture from legacy systems?

Most Houston energy companies have data estates that evolved over decades — Oracle and SAP ERP systems, homegrown production reporting databases, PI historian archives, and spreadsheet-based planning tools. Modernisation starts with a Data Architecture Assessment to map the full current-state picture, then a phased migration: establishing a governed data lake on Azure, migrating high-value data domains, and retiring or abstracting legacy systems. We design for continuity — operations cannot stop during modernisation.

Do you work with aerospace and industrial data environments?

Yes. Houston hosts NASA Johnson Space Center, Boeing, Lockheed Martin, and a large petrochemical sector along the Houston Ship Channel. Industrial data environments require connecting MES, SCADA, and ERP systems to analytics platforms, handling high-frequency sensor data, and supporting quality, safety, and regulatory reporting. Federal contractor environments have additional DFARS and CMMC compliance requirements we are experienced with.

How do you build AI-ready data architecture for energy sector organisations?

Energy sector AI use cases — predictive equipment maintenance, production optimisation, reservoir modelling — require feature pipelines that pull from both operational and business data. We build the unified governed platform first: a Bronze/Silver/Gold medallion architecture on Azure that gives both your analytics team and ML engineers access to the same certified data. The AI layer (Azure ML, Databricks ML) is then built on top of that certified foundation, not around it.