Backend services
APIs and server-side business logic.
PYTHON · AUTOMATION · BACKEND · DATA
Python development for automation, Telegram bots, backend services, data processing, parsers and API integrations.

The exact scope follows the product workflow. These are the components that commonly matter for this type of project.
APIs and server-side business logic.
Bot flows, integrations and background processing.
Repeatable data and operational workflows.
Structured extraction, cleanup and transformations.
Integrations with third-party services and internal systems.
Docker/VPS setup, logging and production maintenance.
I do not force every project into one stack. The format should reduce complexity for the user and for the system.
Custom logic or data processing needs code and clear tests.
The task is primarily orchestration between existing services.
Use n8n for the flow and Python for the complex step.
Current process, users, inputs, outputs and constraints.
Define the smallest architecture that solves the actual problem.
Implement the end-to-end workflow, integrations and edge states.
Deploy, test real usage and iterate from observed issues.
Automation, Telegram bots, backend APIs, parsers, integrations and data-processing workflows.
Yes. A small service or worker can often extend an existing product without replacing it.
Yes. Containerised deployment is useful for predictable environments and maintenance.
Yes. n8n can call a Python API or script when a workflow needs custom logic.
YOUR PROJECT IS NEXT
A few sentences about your project are enough to start. A link, design or existing code helps estimate the scope.
@Alexuys ↗alexgtup@gmail.com