Data Pipelines

Your data, flowing automatically.

We connect the systems your district already runs on — SIS, assessment platforms, and more — and build pipelines that run on a schedule. Clean data delivered automatically. No manual exports, no merging, no waiting.

From source to insight — automatically.

01

Connect your sources

We integrate with your SIS, assessment platforms, HR systems, and vendor tools via APIs, SFTP transfers, and file-based feeds — however your data is available, we connect to it.

02

Extract on a schedule

Pipelines run automatically — nightly by default, or as often as every few minutes for sources that support it. No one on your team needs to log in, pull a report, or send a file.

03

Clean and validate

Raw data is standardized, deduplicated, and checked for accuracy before it moves anywhere. Validation catches errors early, so bad data never reaches your dashboards.

04

Load into BigQuery

Clean data lands in your Google BigQuery warehouse — structured, governed, and queryable. Every source in one place, modeled to answer cross-system questions.

05

Monitor and alert

Every pipeline is monitored. If something fails or data looks off, your team gets notified within minutes — not days later when someone spots a wrong number in a report.

Active integrations.

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PowerSchool SIS

Student demographics, enrollment, attendance, grades, course schedules, and discipline records — extracted and loaded automatically on a nightly schedule.

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Don't see your system? We add new integrations as part of customer onboarding — most go live within 2–4 weeks.

Always current

Pipelines run on a schedule — data is fresh without anyone lifting a finger.

One source of truth

Every team pulls from the same warehouse. No more conflicting numbers.

🔒 Secure by default

Built on Google Cloud infrastructure with role-based access and audit logging.

Want to see what this looks like for your district?

Book a 20-minute call and we'll walk through your current data sources and what a pipeline build would look like.