AI & Data
Data Pipelines
ETL/ELT pipelines with quality checks so analytics stop arguing about numbers.
Data Pipelines move data from apps and ops systems into analytical stores on a schedule you can trust. We implement ingestion, transformation for priority entities, and alerts when freshness or quality breaks—so reporting has a dependable backbone.
From $6,999
Who it’s for
- • Teams replacing manual CSV exports
- • Companies connecting product and billing data for reporting
- • Ops leaders who need trustworthy operational metrics
Problems we address
- • Reports depend on someone remembering to export files
- • Pipeline failures are discovered days later
- • Source schema changes silently break transforms
Expected outcomes
- • Automated ingestion for priority sources
- • Core warehouse models for key entities
- • Alerts on freshness and test failures
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
Source connector setup and custom extractors
Staging and core model layers
Orchestration and scheduling
Data quality checks
Failure alerting and replay guidance
Documentation for source → model lineage
Technology
Representative technologies used for this service. Final stack depends on your estate.
- dbt
- Airbyte / Fivetran
- BigQuery / Snowflake / Postgres
- Airflow / cloud schedulers
- SQL
- Object storage
Architecture
AI application flow
User requests through the application into model APIs, tools, and storage.
Deliverables
- • Pipeline design for agreed sources
- • Production pipelines and models
- • Quality checks and alerts
- • Lineage / docs for operators
- • Handover for adding the next source
Out of scope
- • Warehouse credit purchases
- • Unlimited historical backfills without scope
Timeline
Typical timeline
2–6 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Packages
Scoped offerings you can add to cart, or request a quote when the fit is custom.
Pipeline Foundation
Core warehouse model and two priority source pipelines with quality checks.
$6,999
- • Source audit for selected systems
- • Two priority source pipelines
- • Core warehouse models
- • Data quality checks
- • Freshness alerts
- • Operator documentation
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Related work
Example / concept projects shown for illustration unless otherwise verified.
FAQ
The Pipeline Foundation package covers two priority sources. Additional sources are scoped as follow-on work.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.