IoT Energy Data Processing Platform

Project summary

Netcorp partnered with the client to build a scalable IoT data processing platform capable of ingesting millions of data points per hour from sensors across multiple regions. Using Databricks, the team implemented automated ETL processes, stream processing with Delta Live Tables, and advanced data quality validation.

The platform aggregates consumption data, predicts peak loads, and alerts energy operators when inefficiencies are detected. The resulting system empowered the client to scale their analytics operations while reducing operational costs.

Sector:
Energy / IoT
Main technologies:
Databricks, Scala, Kafka, AWS S3, Airflow, Terraform, Delta Live Tables
Duration:
1 year and 9 months
Delivery model:
Full Team Outsourcing

About the company

The client is a Swedish technology company providing IoT-based monitoring and automation systems for smart energy grids. Its solutions help cities and utilities manage energy consumption and reduce waste.

Enefit - development & hosting

Location:

Sweden

Duration:

1 year and 9 months

Delivery model

Full Team Outsourcing

Customer feedback summary

Netcorp delivered a reliable and high-performing solution tailored to the client’s technical and business needs. Their agile approach and ability to balance data engineering best practices with real-world operational requirements made the collaboration both productive and smooth.

The outcome

The system now processes over 2 TB of IoT data daily with 99.9% uptime. The client can identify inefficiencies in under five minutes and has reduced infrastructure costs by 30% thanks to Databricks’ autoscaling features.

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Paavo Puklin
Executive Board member, Founder at Netcorp

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