delivery · CAT-30030645 · rev 1.0 |
Data Pipeline Foundation. @data-pipeline-foundation
Part of Data Engineering Services
5.0Reviews ▾
Rated 5.0 / 5 by clients on GoodFirms.
Read verified reviews on GoodFirms →Vetted by Scrums.com Platform
Provider Scrums.com
Last review 2026-08-13
What you get
the numbers that matter≈ 2 weeks
signed to first PR
96%
engagements renewed
96%
to your stack & domain
A working ELT baseline for your business: source ingestion, a governed warehouse, and your first dashboards — built on dbt, Airflow, and your cloud, with data quality checks from the first pipeline.
How this operator works
every way of working, already decidedOwns the system, not the ticket
Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.
Embedded, async-first, instrumented
Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.
Runbooks, canaries, reversible deploys
Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.
Plugged into your Slack & rituals
Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.
Brings a pre-wired stack or adopts yours
Infrastructure and observability as code by default. No bespoke setup tax to absorb.
Scoped, gated, reversible
Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.
Overview
Most companies don't need a data strategy deck — they need their data in one governed place with dashboards people trust. The Data Pipeline Foundation builds that baseline: ingestion from your core systems, a modeled warehouse on Snowflake, Databricks, or your cloud-native stack, and a first set of dashboards answering the questions your team actually asks.
The pipelines are built as code — dbt for modeling, Airflow or Prefect for orchestration — with data quality checks and governance from the first table, because everything downstream (BI, ML, AI) inherits whatever quality the foundation has.
What's included
Source Ingestion
Reliable ELT from your core systems — product database, CRM, billing, events — into one warehouse, scheduled and monitored.
Warehouse & Modeling
A dbt-modeled warehouse with documented, tested models — not a pile of raw tables — on the platform that fits your stack and budget.
First Dashboards
Working dashboards in Tableau, Power BI, or Looker over the modeled data, built against real stakeholder questions.
Quality & Governance Baseline
Freshness and quality tests, access controls, and documentation — the guardrails that keep the platform trustworthy as it grows.
How it works
- Scope — Data landscape assessment: source inventory, stakeholder interviews, and a fixed scope of sources, models, and dashboards.
- Build — Provision the platform, build ingestion and models, and stand up the dashboards — with quality tests written alongside.
- Handover — A documented, monitored platform handed to your team: runbooks, model docs, and a roadmap for what to build next.
Part of every Delivery Plan
The Data Pipeline Foundation is a menu item on the Scrums.com delivery catalog, available at every plan tier. Add it to your plan backlog and your delivery team schedules it like any other item — scoped, tracked, and reported through the SEOP. See Delivery Plan Tiers.
FAQs
Which platform will we end up on?
The one that fits your stack: Snowflake, Databricks, or cloud-native (BigQuery, Redshift, Azure Synapse). The assessment phase makes the choice explicit, with cost and capability trade-offs documented.
Do we own the result?
Yes. Everything runs in your cloud accounts, as code, with documentation — no proprietary layer between you and your data, and no vendor lock-in.
What if we want to keep building after the foundation?
That's the designed path: add the Data & Analytics Pod to your plan backlog and the same platform grows against a metrics backlog — more sources, more models, ML-ready infrastructure.
What's included
in every engagement · no add-onsTrack record
deployments on real systems · anonymized| Sector | System | Outcome | Span | Status |
|---|---|---|---|---|
| Fintech | payments-core ledger | 99.97% achieved | 14 mo | ● complete |
| Commerce | checkout platform | −38% incident rate | 9 mo | ● complete |
| Health SaaS | data plane | 0 SEV1 in 6 mo | 11 mo | ● active |
| Logistics | routing engine | zero-downtime cutover | 7 mo | ● complete |
| AI infra | inference cluster | p99 −120 ms | 5 mo | ● active |
Works inside your stack
surfaces this operator binds to| Surface | Binding | Direction | Auth |
|---|---|---|---|
| Source control | github.com/<org> | reviews + writes | OIDC |
| CI / CD | scm-flow · deploy-service | gates deploys | OIDC |
| Observability | otlp://collector:4317 | metrics + alerts | mTLS |
| Comms | slack://<workspace> | standups, incidents | SSO |
| Secrets | vault://scrums/op/<id> | short-lived creds | SPIFFE |
| On-call | pagerduty://<org> | primary / secondary | API token |
Boundaries
what to deploy insteadScoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →
Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.
Deployments
the only social proof we publish402deploys
across 38 organizations
+24 last 30 days · median age 11.4 mo · retention 96%
Pricing
one number · one footnoteAvailable at all Delivery Plan Tiers →
All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.
Final pricing computed at deploy from your committed envelope, region and account tier.
FAQ
common questionsHow is Data Pipeline Foundation priced?
Pricing is shown to signed-in accounts. Sign in to view the rate; pricing is computed from your engagement scope, region and account tier.
Is Data Pipeline Foundation available now?
Yes. It is published and deployable directly from the Scrums.com catalog.
Can a Data Pipeline Foundation deployment be reversed?
Yes. Deployments are reversible with a one-click swap inside the trial window.
Who provides Data Pipeline Foundation?
Scrums.com, vetted by the Scrums.com platform.
How it compares
vs other delivery| Option | From | Stack | Status |
|---|---|---|---|
| Data Pipeline Foundation · this one | 🔒 Sign in for pricing | delivery · outcome-driven-sprints · data | ● available |
| Codebase Quality Audit | 🔒 Sign in for pricing | delivery · code-audit · maintenance | ● available |
| Product Discovery Sprint | 🔒 Sign in for pricing | delivery · discovery · workshop | ● available |
| Clickable Product Prototype | 🔒 Sign in for pricing | delivery · prototyping · design | ● available |
Commonly deployed with
more deliveryRun this scope on your Delivery Plan
Core costs Was $8,000£6,700R140,000 now $4,500£3,750R79,000/month for one active workstream. Your scope sets the delivery schedule and the total cost. You can use the same plan for your other development work.
Add this scope to your backlog. Your delivery owner confirms the scope with you, and the team delivers it.
One plan for your software backlog.
Work is scoped and delivered within your plan’s capacity. Priorities can change; additional parallel workstreams require more capacity.