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You will get End-to-End Workflow Automation Using n8n & Python Scripts
Project details
This project combines the power of n8n automation with custom Python scripting to create efficient, tailored workflows that save time and reduce manual effort. What sets it apart is the flexibility to connect multiple tools, handle complex logic, and adapt to your exact business needs — all with clean, scalable automation.
Programming Languages
PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$150
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 3 | Unlimited | Unlimited |
Number of Pages Mined/Scraped | 2 | 5 | 8 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Install Script | |||
Test Script | |||
Task Automation | - |
Frequently asked questions
About Abhishek
DevOps & Cloud Infrastructure | AWS, Scaling & Cost Control
Solan, India - 6:00 am local time
Most teams hit a point where infrastructure starts holding things back: deployments are slow and manual, costs keep climbing, or performance drops under load. I set up and clean up the infrastructure side so your app runs reliably and your team can manage it without depending on me.
What I do:
Deployment & CI/CD — Automated deployments with GitHub Actions and GitLab CI, Docker containers, zero-downtime releases and rollbacks, and proper dev/staging/prod setup. I deploy and tune Python apps (Django, FastAPI) with Gunicorn and Nginx.
Cloud (AWS & GCP) — EC2, RDS, S3, Lambda, API Gateway, SQS/SNS, CloudFront, VPC, Cognito, autoscaling, and load balancing — set up correctly and kept stable. Plus secrets management, SSL/TLS, and IAM so the infrastructure stays locked down.
Cost control — This is where I save teams the most. I track where the cloud spend is going, right-size resources, and cut waste — then set up cost monitoring so it stays under control as you grow, instead of a one-time cleanup.
Monitoring & reliability — CloudWatch, Grafana, Prometheus, and Datadog for metrics, logging, and alerts, so you know what's happening before users do. Backups and disaster recovery for when something fails.
Scaling & performance — Tuning infrastructure for high-concurrency load, database read replicas and connection pooling, and caching so the system holds up as traffic grows.
How I work:
I start by understanding your setup and where you're heading, then find the bottlenecks and cost issues before changing anything. I document everything so your team isn't dependent on me afterward.
Tech: AWS, GCP, Docker, GitHub Actions, GitLab CI, PostgreSQL, Redis, CloudWatch, Grafana, Prometheus, Datadog
If your infrastructure needs deploying, scaling, cleaning up, or its costs brought under control, send me your setup and I'll take a look.
Steps for completing your project
After purchasing the project, send requirements so Abhishek can start the project.
Delivery time starts when Abhishek receives requirements from you.
Abhishek works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the Workflow & Requirements
Review the details you provide and connect to clarify the process, tools involved, and automation goals.
Build & Integrate Automation
Set up the n8n workflow or integrate Python scripts as needed. Connect required platforms, APIs, or services.