Articles
Page 4 of 6Practical guides on automation, ecommerce optimisation, and data engineering by Fawad Hussain Syed.
Ecommerce Data Pipeline: Reporting Architecture That Scales
Design a data pipeline architecture for ecommerce reporting that handles multi-platform ingestion, incremental loads, dimension modelling, and automated report generation — from raw API data to business-ready dashboards.
Python Secrets Management for Automation Pipelines
Manage API keys, database credentials, and tokens across Python automation pipelines — from environment variables to vault integration, with patterns that scale from solo scripts to team deployments.
How to Build Dashboards Without BI Tools: Python + HTML
Build interactive data dashboards using Python and HTML templates instead of expensive BI tools — from data processing to chart rendering to automated deployment, with no licence fees.
Prefect Reusable Task Blocks: Build Composable Workflow Components
Build reusable task blocks in Prefect that snap together into different workflows — shared extractors, validators, loaders, and notification tasks that eliminate duplication across pipelines.
Prefect IntervalSchedule Migration: From Legacy Schedules to Prefect 3
Migrate from deprecated prefect.server.schemas.schedules IntervalSchedule to Prefect 3 scheduling patterns — with side-by-side code comparisons, common errors, and a step-by-step upgrade path.
Build a Self-Updating Shopify Analytics Dashboard with Python
Build a self-updating Shopify analytics dashboard that tracks sales, inventory levels, and customer metrics — scheduled data pulls, trend comparisons, and alert thresholds, all automated.
Why Is My Shopify Store Slow? A Systematic Diagnosis to Find the Real Bottleneck
Systematically diagnose why your Shopify store is slow — isolate whether the theme, apps, images, or third-party scripts are the real bottleneck, with measurements to prove it before you change anything.
Automate Shopify Email Reports: HTML Templates, Scheduling, and Delivery
Build automated Shopify email reports using Python — HTML templates, daily sales summaries, scheduled delivery, and conditional alerts that land in your team inbox every morning.
Ecommerce Reporting API: One Data Layer for Shopify and WooCommerce
Build a unified reporting API layer that pulls data from Shopify, WooCommerce, and other platforms — normalise metrics across stores, automate collection, and feed dashboards without manual exports.
Shopify Admin API: Pull Sales, Inventory, and Customer Data with Python
Learn how to automatically pull sales, inventory, and customer data from your Shopify store using Python and the Admin API. Covers authentication setup, handling pagination and rate limits, GraphQL bulk operations for large stores, and building a complete daily data pipeline — no manual CSV exports needed.
Async Python for Faster Data Collection and Processing
Speed up API calls, web scraping, and file processing with async Python. Covers asyncio, aiohttp, semaphores for rate limiting, and patterns for mixing sync and async code.
A/B Testing for Ecommerce: Using Data to Optimise Product Pages
How to choose a product-page A/B test worth running, define the metric and guardrails before launch, catch the tracking and allocation faults that make a dashboard lie, and decide what to do when the result is inconclusive.