Modern AWS Data Platforms for Energy

Optimise and modernise energy data platforms on AWS to reduce costs, improve performance, and enable faster forecasting and analytics.

Energy businesses face growing data complexity, from telemetry and time-series data to pricing and forecasting workloads. Legacy or inefficient platforms drive up costs and slow down insight.

Platform review Assess data lakes, pipelines, ETL performance, and analytics workloads.

Scalability check Validate right-sizing, auto-scaling, and streaming strategies for growth.

Performance tuning Optimise Athena, EMR, Redshift, and Glue for energy workloads.

Governance & roadmap Strengthen security and provide a clear, prioritised improvement plan.

Cut costs, improve reliability, and unlock real-time forecasting with modern AWS data platforms built to scale — giving your business a future-ready foundation.

Faster forecasting and analytics Enable near real-time insights from telemetry and pricing data. Improve forecasting accuracy, trading agility, and operational decision-making with optimised pipelines and modern AWS-native architectures. 

Lower operational costs Right-size compute and storage, eliminate inefficiencies, and streamline data processing. Optimisation reduces wasted spend and energy costs while maintaining performance at scale.

Reliable, scalable platforms Build fault-tolerant, self-healing pipelines that scale automatically as data volumes grow. Replace rigid systems with flexible architectures that support future workloads and innovation.

Trusted expertise and guidance Work with AWS Solution Architects who understand energy data challenges. Gain practical recommendations, clear roadmaps, and collaborative support that frees your teams to focus on higher-value priorities.