Data extraction and API pipelines

Data extraction and API pipelines that stop manual reporting work.

We connect SaaS tools, APIs, files, webhooks and databases into reliable data flows that land in BigQuery or the system your team uses to report, automate and decide.

Discuss a data pipeline See how we deliver

Data pipeline map from SaaS systems, APIs and files into warehouse and reports

Typical start point One backlog item, one migration stream, one dashboard, one automation or one specialist gap.

What we do

Specific delivery, not vague consulting.

This page is about Data Pipelines work. The scope is tied to the tool, the output and what your team needs to use next.

API extraction from SaaS tools, internal systems, files and webhooks
Make scenarios, Fivetran connectors or custom jobs depending on fit
Loads into BigQuery, Google Cloud Storage or reporting-ready tables
Retry, logging and alert patterns for operational confidence
Pipeline documentation so your team knows what runs and when

Tool language

We work in the terms your team already uses.

MakeFivetranREST APIswebhooksJSONCSVCloud FunctionsCloud StorageBigQuery loadsservice accountsschedulinglogging

Process

How the work normally runs.

Identify sources

Confirm source systems, API access, file formats and reporting requirements.

Choose pattern

Select Make, Fivetran, custom code or Google Cloud jobs based on reliability and cost.

Build extraction

Create the connector, transformation and load path into the destination.

Add controls

Set retries, logging, error handling, alerts and freshness checks.

Document operations

Hand over run schedules, credentials notes, limits and support steps.

Deliverables

What you receive.

We keep outputs concrete so your team knows what changed, how to use it and what to do next.

Working extraction and load pipeline

Destination tables or files

Scheduling, logging and error handling

Credential and access notes

Operational handover documentation

Engagement model

Start small, then scale only when useful.

Bring one task, one project or one specialist gap. We can stay focused on the immediate outcome or continue as delivery capacity.

One taskA focused build, fix, review or proof of approach.

One projectA planned delivery with outputs, validation and handover.

One specialistA developer or engineer working with your team priorities.

FAQ

Common questions.

Should we use Make, Fivetran or custom code?

It depends on source complexity, budget, volume and operational risk. We choose the simplest reliable option, not the most complex one.

Can you work with undocumented APIs?

Yes, where access is allowed. We inspect endpoints, pagination, authentication, rate limits and response structures before building.

Can the pipeline feed dashboards and AI workflows?

Yes. A stable pipeline can feed BigQuery, Tableau, Power BI, alerts, exports or AI agents.

Start here

Tell us the outcome you need.

Share the tool, workflow, dashboard, migration or capacity gap. We will respond with a practical next step, not a generic sales script.

Discovery call Fit and scope check Clear next action