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I will build python etl pipelines
About this Gig
Do you need to move data from CSV or Excel files, APIs, or structured sources into a clean database? I will build a Python ETL pipeline to extract, transform, validate, and load your data.
Depending on the agreed scope, I can help you with:
- CSV and Excel processing using Python and Pandas
- Data cleaning, standardization, and transformation
- Loading structured data into PostgreSQL or MySQL
- API-to-database workflows when documentation and authorized access are available
- Workflow scheduling with Apache Airflow
- Basic error handling, logging, and pipeline documentation
You will receive the agreed deliverables, source code, setup instructions, and a README explaining the workflow.
Cloud deployment, large-scale distributed systems, and complex production infrastructure are not included in the base packages unless agreed separately.
Before ordering, please share a sample dataset, your expected output, and any transformation rules. For complex projects, contact me first so we can agree on the scope and delivery time.
Destination Platform:
PostgreSQL
•
MySQL
Tools & Platforms:
Microsoft SSIS
FAQ
What do you need before starting?
A sample dataset or schema, the expected output, and the transformation rules. For database work, we should also agree on the target environment and a safe way to access it.
Do you work with APIs?
Yes, when the API documentation, required access, and project scope are available and suitable for the agreed workflow.
Will I receive the Python source code?
Yes. The source code and the documentation specified in your selected package are included.
Can you deploy the pipeline to a cloud server?
Cloud infrastructure and production deployment are not included in the standard packages. These requirements need separate assessment and a custom quote.
Should I contact you before ordering?
Yes, particularly when the project has multiple data sources, complex business rules, or scheduling requirements.
