You will get ETL Pipelines & REST APIs for Retail Data Platforms
Project details
Looking to integrate retail platforms like Shopify, Square, Clover, or SFTP sources into your data warehouse (Redshift, BigQuery, PostgreSQL)? Need reliable, well-documented APIs to power your frontend or microservices?
I’ll help you design and build scalable backend systems, including ETL pipelines and RESTful APIs tailored to your business needs, just like I did for a North American AI-based dynamic pricing platform used by retailers managing thousands of SKUs.
What You Get:
Backend Development
• Fast and secure RESTful APIs using FastAPI/Django
• Full CRUD operations, user/session management, and data endpoints
• Swagger/OpenAPI documentation for every API
ETL & Data Pipelines
• Connectors for Shopify, Square, Clover, and SFTP
• Scheduled or real-time ETL pipelines built using Airflow, Pandas, or custom Python scripts
• Data ingestion and transformation pipelines into AWS Redshift, PostgreSQL, or other databases
Optional Add-ons (extra cost)
• Dockerized setup for local or production environments
• AWS Lambda or EC2 deployment support
• CI/CD Pipeline setup (GitHub Actions, Bitbucket Pipelines, etc.)
I’ll help you design and build scalable backend systems, including ETL pipelines and RESTful APIs tailored to your business needs, just like I did for a North American AI-based dynamic pricing platform used by retailers managing thousands of SKUs.
What You Get:
Backend Development
• Fast and secure RESTful APIs using FastAPI/Django
• Full CRUD operations, user/session management, and data endpoints
• Swagger/OpenAPI documentation for every API
ETL & Data Pipelines
• Connectors for Shopify, Square, Clover, and SFTP
• Scheduled or real-time ETL pipelines built using Airflow, Pandas, or custom Python scripts
• Data ingestion and transformation pipelines into AWS Redshift, PostgreSQL, or other databases
Optional Add-ons (extra cost)
• Dockerized setup for local or production environments
• AWS Lambda or EC2 deployment support
• CI/CD Pipeline setup (GitHub Actions, Bitbucket Pipelines, etc.)
Programming Languages
PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
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MS
Moshe S.
Feb 1, 2017
design logo and workbook
I love Hazeem,I look forward to doing more work with hime in the future when I need logo work ;)
About Hamza
Python Backend Developer | Django & FastAPI Expert | Scaling Cloud API
Lahore, Pakistan - 11:31 am local time
If your backend needs to handle real traffic, integrate third-party services, or automate data pipelines reliably — that's the work I've been doing for the past 3+ years at a software agency serving enterprise and startup clients.
What working with me looks like:
Your REST API gets built with Django REST Framework or FastAPI, documented with Swagger/OpenAPI, and covered with tests before it ships. Your PostgreSQL schema gets designed for reads and writes at scale — with proper indexing, query profiling, and no N+1 surprises in production. Your deployment runs in Docker containers, automated through CI/CD, and hosted on AWS (Lambda, EC2, S3) or DigitalOcean — not just "it works on my machine."
If your project needs background processing, I'll wire Celery and Redis into the stack. If it needs data extraction or ETL pipelines, I've built those with Selenium and Pandas at scale. If it needs AI integration, I've worked with the OpenAI API and can connect LLM functionality into your backend cleanly.
Recent work includes:
- REST APIs with 30+ endpoints serving Django DRF and FastAPI, integrated with PostgreSQL and MySQL
- AI-powered dynamic pricing platform with ETL pipelines and real-time data ingestion
- LinkedIn API integration for a recruitment platform with automated candidate matching
- Async task pipelines using Celery/Redis for background job processing and automation workflows
- AWS deployments using Lambda, EC2, and S3 with Docker and Terraform for infrastructure as code
I'm a good fit if you need:
A backend engineer who writes clean, maintainable code — not a freelancer who disappears after delivery. I send updates proactively, define scope clearly upfront, and measure success by response time, error rate, and deployment stability — not just "it's done."
I'm not the right fit for quick-turnaround $50 jobs or projects with no defined scope.
Send me a message describing your project — I'll propose milestones, timeline, and a small test task to start.
Steps for completing your project
After purchasing the project, send requirements so Hamza can start the project.
Delivery time starts when Hamza receives requirements from you.
Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering
Review your data sources, database targets, and API requirements. Collect credentials and sample data. Finalize the scope and confirm deliverables.
ETL Pipeline Setup
Connect to platforms like Shopify, Square, Clover, or SFTP. Extract and transform data using Python (Pandas / custom logic). Load clean, structured data into your Redshift or other database.