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Data Pipeline Engineering

Automated workflows that extract data from multiple sources and reliably deliver it to centralized storage and downstream systems — built to run unattended, and to fail gracefully when something upstream doesn't.

Engineer monitoring automated data pipeline flows in a data center

What's Included

From scattered sources to a single reliable feed.

Stratum Data designs ingestion pipelines that pull from APIs, relational databases, cloud platforms, applications, IoT sensors, streaming systems, and files — then land that data where it needs to go, on schedule, with visibility into every run.

APIsRelational DatabasesCloud PlatformsIoT SensorsStreaming SystemsFiles
  • Automated ingestion
  • Batch processing
  • Streaming pipelines
  • Orchestration
  • Monitoring
  • Fault handling
API DB IoT

Pipeline Flow

Source to destination, orchestrated end to end.

01

Sources

02

Ingestion

03

Orchestration

04

Monitoring

05

Destination

Have fragmented data sources?

We'll help you design a pipeline architecture that consolidates them reliably.