Data Infrastructure in a Digital Exile
The article discusses the challenges faced by a data engineer in creating a payment system for selling stock photos in a restricted country. Initial solutions were ineffective, leading to a complex and costly process. Ultimately, a more robust payment gateway aggregator was developed, significantly improving transaction success rates and operational efficiency.
- ▪The company faced difficulties selling stock photos in a restricted country due to limited payment options.
- ▪Initial workarounds were clunky and frustrated customers, leading to a need for a more scalable solution.
- ▪After several iterations, the payment success rate improved to 95% and transaction time was reduced from 30 minutes to 5 minutes.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3942568) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } ruth mhlanga Posted on May 22 Data Infrastructure in a Digital Exile #webdev #programming #dataengineering #python The Problem We Were Actually Solving As a data engineer, I've spent years building data infrastructure to support high-growth businesses. But my latest project was different. My company was attempting to sell stock photos to customers in a restricted country, where the usual payment gateways – PayPal, Stripe, Gumroad, and Payhip – just wouldn't work.
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