Custom Integration Workflow Using Make.com

As an Automation Engineer and Fullstack Developer, I developed a custom workflow on Make.com to bridge 2 separate services—one of which lacked any native integration support. This project required not just automation expertise, but also backend knowledge to ensure smooth communication between platforms.

To achieve this, I designed a logic-driven automation that used robust filtering and conditional paths to handle multiple edge cases and real-time data inconsistencies. I created custom data structures within Make to store and manage information across runs, enabling persistent and reliable data handling without external databases.

One of the critical challenges was managing service APIs that didn’t naturally talk to each other. To address this, I used Python and Django REST framework to expose endpoints and structure data flow in a format compatible with Make.com scenarios. This allowed Make to receive, parse, and relay data seamlessly between services, even when one side lacked a proper webhook or listener.

The result was a smooth and reliable automation system that significantly improved operational workflows, reduced manual work, and increased data accuracy across the board.

Tools & Tech: Django REST framework, Make.com, Python Roles: Automation Engineer, Backend Engineer, Fullstack Developer