ETRM Data Engineering
ETRM Data Engineering
ETRM platforms hold years of valuable trade, position and P&L history, but that data is rarely easy to analyze at scale inside the ETRM itself. We build the pipelines that move ETRM, market and ERP data into a modern cloud data platform - so your team can build analytics, historical reporting and dashboards without waiting on the ETRM vendor's reporting layer.
Common Questions
Problems we help investigate and resolve
“Our ETRM reporting is too slow or too rigid for ad-hoc analysis.”
We extract and model the data in a cloud data warehouse where analysts can query freely without touching production.
“We need years of trade history for a model, but it's scattered across systems.”
We build historical data pipelines that consolidate ETRM, market and ERP data into one queryable source.
“Our data pipelines break silently and nobody notices for days.”
We add data quality and reconciliation checks that surface pipeline failures before they reach a report.
Capabilities
What this service covers
Pipelines & Orchestration
- ETL/ELT design
- Azure Data Factory
- Databricks
- Batch and API ingestion
- Data pipeline orchestration
Storage & Modeling
- Azure Data Lake
- Delta Lake
- SQL Server data warehousing
- Historical data modeling
- Data migration
Quality & Delivery
- Data quality monitoring
- Data reconciliation
- Python-based transformation
- Analytics-ready datasets
- Reporting integration
Architecture
ETRM to cloud data platform
Industries
Industries we apply this to
FAQ
Frequently asked questions
Related Reading
Related articles and services
Modernize Your ETRM Data
Tell us what's locked inside your ETRM that you can't easily report on - we'll design the pipeline to unlock it.