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I will build scalable automated etl pipelines using python
Unlocking the Power of Python, One Project at a Time!
I'm Hamza Hameed, an experienced backend Python engineer specializing in developing robust, scalable, and efficient web applications. With over 3+ years of hands-on experience, I've collaborated with ...
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Need a reliable ETL pipeline to automate your data flow?
I specialize in building scalable ETL solutions using Python, Django, and Celery. Whether you need to extract data from APIs, transform large datasets, or load them into databases, I'll build a clean, production-ready pipeline tailored to your needs.
Using Celery with Django, I orchestrate background tasks with support for retries, scheduling (via Celery Beat), and task chaining, perfect for lightweight yet powerful workflows without the overhead of Airflow.
I work with PostgreSQL, MySQL, MongoDB, REST APIs, and CSV/JSON files, and can deploy your pipeline using Docker on AWS, GCP, or DigitalOcean.
You'll get:
- Custom Python ETL pipeline
- Scheduling & retry logic
- Cloud-ready deployment
- Monitoring & logs
With 2+ years in backend development, I deliver efficient, well-documented solutions designed for scale and reliability.
Let's automate your data workflows!
Tools und Plattformen:
AWS Glue DataBrew
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FAQ
Can you integrate APIs into the ETL pipeline?
Absolutely! I can extract data from various APIs and integrate them seamlessly into your ETL process.
Do you provide deployment services?
Yes, I offer deployment on cloud platforms like AWS, GCP, and DigitalOcean, ensuring your ETL pipelines are production-ready.
What if I need to process large datasets?
I design scalable solutions capable of handling large volumes of data efficiently.
Can you set up monitoring for the ETL processes?
Yes, I can implement monitoring tools to track the performance and health of your ETL pipelines.
