03 / API & Integration
Shah Hadi / Case Study
One place. Many tools.
A lightweight integration layer that brings data and actions from multiple services into one reliable internal workflow.
At a glance
An integration layer reduces friction between services by transforming incoming data and routing useful actions through one backend workflow.
Primary stack
Python · REST · JSON · Databases
System flow
Service A→Normalize / transform→Backend + database→Service B / output
The portfolio intentionally avoids invented performance numbers. Add verified metrics such as time saved, task volume, response speed, or error reduction when you have them.
The problem
Information lives in different services, creating friction between tools and people.
DataPull the right information from multiple sources.
ActionsTrigger updates without repeated manual work.
The build
A small backend service coordinates requests, transforms data, and stores the useful parts.
API layerClean calls and predictable responses.
Data layerStructured storage for useful operational information.
Reliability notes
The strongest automation is easy to reason about. Keep integrations isolated, validate incoming data, log important events, and make failure visible instead of silent.
ValidationReject malformed or incomplete inputs before they move deeper into the workflow.
ObservabilityKeep useful logs and notifications around key actions and failures.
The outcome
A connected workflow where different services behave more like one system.
ClarityOne place to understand the state.
SpeedFewer manual handoffs between tools.