The pressure
Business data trapped in Shopify, Google Ads, Meta Ads, Salesforce, and Stripe — reporting meant manual exports.
← All work
Representative interface reconstructed from the delivered workflow using sample data to protect client confidentiality.
Commerce & analytics · Multi-channel business
Marketing & Sales Data Pipelines
Sales, ads, and payment data from six platforms, unified into one reporting layer.
Outcome
Running in production for analytics teams.
01 — Case study
From operating friction to one reliable workflow.
The system
Automated ETL pipelines on Google Cloud (BigQuery, Cloud Functions, Pub/Sub) that ingest, validate, and prepare analytics-ready data daily.
The result
Running in production for analytics teams.
TechnologyGCPBigQueryPythonSQL
02 — Related work
More systems in this area.
AutomationCustomer operations
WhatsApp Support & Complaint Console
A WhatsApp-based support console that turns live chats into tracked complaint tickets automatically.
Outcome
Built and running as a working support console.
AutomationProcess automation
Visa Appointment Automation
Automated appointment booking on VFS Global, handling multiple applicants concurrently.
Outcome
Open-source; 18 stars on GitHub.
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