Articles
Page 6 of 6Practical guides on automation, ecommerce optimisation, and data engineering by Fawad Hussain Syed.
Testing Data Pipelines: A Practical Guide with pytest
Write tests that catch broken pipelines before they produce wrong reports — with pytest fixtures, DataFrame assertions, mock APIs, and CI integration.
How to Build Self-Healing Data Pipelines That Recover from Failures
Build data pipelines that detect failures, retry intelligently, recover from partial runs, and alert you only when human intervention is actually needed.
How Modern Systems Move from Manual Work to Automated and Intelligent Systems
The shift from manual processes to automated and intelligent systems — how automation, ecommerce optimisation, and data pipelines connect into a system-level approach to eliminating repetitive work.
How to Design Data Pipelines for Reliable Reporting Systems
Missing diagrams, partial index checks and a failed deployment exposed gaps in this site's reporting pipeline. Here is what changed, what was verified and what the checks still cannot prove.
How to Clean Messy Excel Data Using Python
A step-by-step guide to cleaning common Excel data problems — duplicates, missing values, inconsistent formatting, merged cells — using pandas, with a working example on a real messy dataset.
How to Build a Data Dashboard Without Manual Excel Work
Build an automated data dashboard pipeline — from raw sources (Excel, APIs) through cleaning and aggregation to dashboard-ready output — replacing manual spreadsheet work entirely.
How to Improve Ecommerce Conversion Using Data and Automation
Measure each step of your own funnel before fixing anything, read what the current evidence says about speed and checkout, and get an alert when a step gets worse.
How to Automate Shopify Reports: Python, API & Dashboard Guide
The complete guide to automating Shopify reports — build email reports, sales dashboards, and inventory tracking with Python and the Shopify Admin API. No manual spreadsheets or CSV exports.
How to Fix Slow Shopify Stores: A Performance Checklist
A prioritised checklist of fixes for a slow Shopify store — themes, apps, scripts, images, and Liquid templates, ranked by effort versus impact, with measurable before-and-after results.
How to Automate Data Workflows Using APIs and Python
Build automated data pipelines that fetch from APIs, clean and transform data, combine multiple sources, and export results — with scheduling for hands-free operation.
Python Automation: Real Workflows That Replace Manual Processes
Common automation workflows — Excel processing, API integrations, reporting pipelines — with before-and-after comparisons and working Python code for each.
Automate Excel Reports with Python: A Practical Guide Using pandas and openpyxl
A working Excel report built with pandas and openpyxl from public UK bank-holiday data: 280 records, a formula-driven summary, UK date formatting, and a validation check that stopped a deliberately damaged source.