Data Pipelines

Reliable, Automated Data Flows That Just Work

Stop manually copying data between systems, cleaning spreadsheets, or hunting for missing information. I build secure, scalable data pipelines on Google Cloud that keep your data accurate, consistent, and ready for decisions.

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What Is a Data Pipeline?

A data pipeline is an automated system that moves, cleans, transforms, and syncs data between different tools and systems without anyone having to do it manually.

Think of it as a digital conveyor belt: data enters from one place (spreadsheets, sensors, CRM, accounting software, etc.), gets cleaned and structured, and is delivered exactly where it needs to be, whether that’s a dashboard, report, or another business system.

I build these pipelines on Google Cloud Platform (GCP) using modern, reliable tools like Cloud Functions, BigQuery, Dataflow, and Pub/Sub. The result? Accurate, timely data that powers better decisions with almost zero ongoing effort.

Does This Sound Familiar?

These are common data-related frustrations I hear from Australian businesses and farms.

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"Our sales data in Shopify never matches what’s in Xero. Someone has to manually reconcile them every week."

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"We export reports from multiple systems and spend hours combining them in Excel just to understand how the business is performing."

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"Sensor or weather data sits in different places and is never brought together for meaningful insights."

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"By the time we realise stock levels are low or a report is wrong, we’ve already lost time or money."

What I Build

Here are some of the most valuable data pipeline projects I deliver for regional businesses, retailers, and farms.

Sales & Finance Sync

  • • Automatic sync between Shopify/WooCommerce and Xero/MYOB
  • • Real-time or scheduled invoice and payment updates
  • • Clean, consistent revenue reporting

Inventory & Stock Intelligence

  • • Multi-channel stock level synchronisation
  • • Automated low-stock alerts and reorder suggestions
  • • Slow-moving stock identification and reporting

Agritech & Sensor Data

  • • IoT sensor data collection and storage in BigQuery
  • • Automated daily/weekly farm performance reports
  • • Weather + soil + irrigation data integration

Customer & CRM Sync

  • • Keep customer records consistent across website, CRM, and email tools
  • • Automatic lead scoring and segmentation
  • • Unified customer view for better service

Reporting & Business Intelligence

  • • Automated dashboards in Looker Studio
  • • Scheduled PDF/email reports
  • • Data transformation and cleansing pipelines

Compliance & Archiving

  • • Automatic data backups and archiving
  • • Audit-ready logging of data movements
  • • Secure retention policies for regulated industries

How I Build Your Data Pipeline

1

Discovery

I map your current data sources, pain points, and desired outcomes.

2

Architecture

I design a secure, scalable pipeline tailored to your systems and volume.

3

Build & Test

I develop, thoroughly test with your real data, and iterate based on your feedback.

4

Go Live + Support

I deploy, train your team, monitor performance, and provide ongoing maintenance if needed.

Pricing

Development

$90/hour

All AUD, excluding GST.

  • ✓ Discovery and requirements gathering
  • ✓ Pipeline architecture and design
  • ✓ Development, testing, and documentation
  • ✓ Deployment and knowledge transfer

Ongoing Support & Maintenance

From $150/month

All AUD, excluding GST.

  • ✓ Monitoring and alerting
  • ✓ Bug fixes and updates when source systems change
  • ✓ Performance optimisation
  • ✓ Monthly usage and health report

Fixed-price quotes available for well-defined pipelines. Bundle with a Tech Audit for the fastest ROI.

Frequently Asked Questions

What kinds of data sources can you connect?

Almost anything with an API or export capability: Shopify, WooCommerce, Xero, MYOB, Google Sheets, CSV files, IoT sensors, weather APIs, CRM systems, databases, and more. If it produces data, I can usually bring it into the pipeline.

How much does running a data pipeline cost on Google Cloud?

Most small-to-medium business pipelines cost between $5 and $50 per month in GCP usage. I design with cost-efficiency in mind and give you full visibility. You only pay for what you actually use.

Do I need technical knowledge to use the pipeline?

No. Once built, the pipeline runs automatically in the background. You’ll receive clean data, reports, or alerts exactly where you need them (email, dashboard, spreadsheet, etc.). I provide simple documentation and training if required.

What if my data requirements change later?

Data pipelines are designed to be extensible. Adding new sources, destinations, or transformations is usually straightforward. Many clients start with one pipeline and gradually expand it as their business grows.

Often Paired With

Cloud Automation →

Once you're in the cloud, automate your routine tasks. Migration is often the first step toward full automation.

Tech Health Check →

Not sure what to migrate or where to start? An audit maps your current setup and recommends the smartest path forward.

Cloud Migration →

Move your data and systems to the cloud first, then automate on top of a solid foundation.

Ready for Clean, Reliable Data?

Let’s talk about your data challenges. We’ll show you how a well-designed pipeline can save you time and improve decision-making.

Book Your Free Discovery Call →