You will get A production data pipeline from any source to your database
Project details
Data pipelines fail in quiet ways — partial writes, duplicate records, silent API errors, and enrichment that stops working without anyone noticing.
I build pipelines that handle all of that. Incremental writes so partial runs are never lost. Deduplication across sources. Graceful degradation when upstream APIs fail. Structured logging so you know exactly what happened on every run.
I've built a production multi-source pipeline processing leads from 100+ sources — Google Maps, Yelp, APIs, RSS feeds — with Redis job queuing, PostgreSQL persistence, quality scoring, and XLSX/CSV/JSON export. The code is public on GitHub.
What you get: clean async Python code you fully own, Docker setup deployable on any VPS, and a pipeline built to survive upstream changes without silent data loss.
I build pipelines that handle all of that. Incremental writes so partial runs are never lost. Deduplication across sources. Graceful degradation when upstream APIs fail. Structured logging so you know exactly what happened on every run.
I've built a production multi-source pipeline processing leads from 100+ sources — Google Maps, Yelp, APIs, RSS feeds — with Redis job queuing, PostgreSQL persistence, quality scoring, and XLSX/CSV/JSON export. The code is public on GitHub.
What you get: clean async Python code you fully own, Docker setup deployable on any VPS, and a pipeline built to survive upstream changes without silent data loss.
Database Type
MySQL, MS SQL, Oracle, SQLite, PostgreSQLWhat's included $400
These options are included with the project scope.
$400
- Delivery Time 7 days
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
Fast 5 Days Delivery
+$70
Additional Revision
+$80
Redis job queue + scheduling
(+ 3 Days)
+$150
Export endpoint (CSV/XLSX/JSON)
+$100
Quality scoring layer
(+ 2 Days)
+$100About Mohamed
Python Automation Engineer, Scraping, Lead Generation & Bot Developme
Sakiet ed Daier, Tunisia - 2:07 am local time
Lead Sourcer, my main project, is a fully automated lead generation pipeline — it finds business owners, qualifies them, and handles outreach without a human touching anything between start and delivery. Built in Python with async scraping, Redis, PostgreSQL, and zero paid APIs.
That's the kind of work I do: you have a repetitive process that eats hours every week, I turn it into something that runs on a server and sends you results.
Specific things I've shipped: multi-source scraping engines with proxy rotation and anti-detection, Telegram and WhatsApp bots with state machine logic, data pipelines that sync across Google Sheets, databases, and third-party APIs, and VPS deployments that stay running.
If you have a process that's manual, slow, and predictable — it can probably be automated. That's what I'm here for.
Steps for completing your project
After purchasing the project, send requirements so Mohamed can start the project.
Delivery time starts when Mohamed receives requirements from you.
Mohamed works on your project following the steps below.
Revisions may occur after the delivery date.
Client assisatnce
Even though project will be delivered fully documentated with deployment instructions, I'll keep being in touch with client till setting up project perfectly