Data Engineering & Real-Time Telemetry Streaming Pipelines
High-throughput streaming data infrastructure, time-series databases, and automated ETL pipelines engineered to ingest millions of telemetry registers per minute with zero loss.
What We Build
Sub-second time-series ingestion clusters handling 500,000+ data points per second with compression.
Automated ETL pipelines normalizing disparate OEM schemas (Sungrow, Huawei, SMA, ABB) into a unified data model.
High-speed calculation engines computing rolling 15-minute averages, Performance Ratios (PR), and CUF in real time.
Data lakehouse architectures combining raw telemetry archives with analytical query engines (ClickHouse, TimescaleDB).
Telemetry Stream Consolidation Across 1.8 GW Fleet
Replaced a fragmented SQL logging database with a distributed ClickHouse and Kafka streaming pipeline, reducing query latency from 45 seconds to 120 milliseconds.
Frequently Asked Questions
How do you handle data ingestion during cellular link dropouts at remote sites?
We deploy edge buffering daemons at the plant gateway that store backlogged readings on local flash storage and automatically replay them chronologically once the network link is restored.
Can your pipelines integrate with existing enterprise data warehouses?
Yes. We provide connectors for Snowflake, BigQuery, AWS Redshift, and Azure Synapse, streaming normalized 15-minute aggregated metrics directly to corporate BI systems.
Discuss your custom requirements
Schedule a scoping call with our lead engineers. We will analyze your workflows and outline an actionable implementation roadmap.
Schedule a Scoping Call