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USD
I will build an automated etl pipeline with python and sql
Hi, I'm a Data Engineer and Analytics Specialist with professional experience working in national and international companies, building data solutions that support real business decisions.
I specializ...
About this Gig
Do you have raw CSV, Excel, API, or database data that requires repetitive manual processing?
I will build a reliable ETL workflow using Python and SQL to extract, clean, transform, validate, and load your data into a structured output or SQL database.
This service can include:
CSV and Excel data processing
PostgreSQL, MySQL, or SQLite integration
Data cleaning, deduplication, and formatting
Missing-value handling and business-rule transformations
Table creation and SQL loading
Reusable Python source code
Basic validation, error logging, and documentation
Local automation with Task Scheduler or cron, when applicable
You will receive organized, readable code and clear instructions for running the workflow.
Please contact me before ordering so I can review your data sources, transformation rules, expected output, and package fit. Cloud platforms, authenticated or complex APIs, very large datasets, and major scope changes require a custom offer.
Technology:
Excel
•
Python
My Portfolio
FAQ
Which package should I choose?
The Basic package is designed for cleaning and transforming one CSV or Excel dataset. Standard is suitable for a reusable ETL workflow connected to one SQL database. Premium is intended for multiple sources, API integration, advanced transformations, validation, logging, and documentation. Contact m
What do you need before starting?
Please provide sample data, the source and destination formats, transformation rules, expected output, approximate number of rows and columns, and your preferred database. Sensitive information may be replaced with anonymized sample data during the initial review.
Which data sources do you support?
I work primarily with CSV, Excel, PostgreSQL, MySQL, SQLite, and accessible REST APIs. Please contact me first for authenticated APIs, unusual file formats, cloud services, or legacy systems.
Do you include the source code?
Yes. All packages include the source code created for the agreed scope. Standard and Premium also include execution instructions and a structured project folder.
What counts as a revision?
A revision corrects the delivered work so it matches the requirements agreed before development. New data sources, additional transformations, new outputs, architecture changes, or requirements introduced after the order are considered additional scope.
Can you automate the pipeline?
Yes, I can prepare the workflow for scheduled local execution using Windows Task Scheduler or cron when the environment allows it. Cloud deployment, servers, containers, or managed orchestration require a custom offer.
Can you modify or debug an existing ETL script?
Yes. Please share the code, error details, expected behavior, environment information, and a representative sample of the data so I can determine whether it fits an existing package or requires a custom offer.
How do you handle confidential data?
With the utmost care and responsibility, it is strongly urged to provide anonymized or masked sample data whenever possible. Access should be limited to the resources required for the project. Please do not share passwords directly in files or messages; use temporary credentials or restricted-access
Do you work with very large datasets?
Dataset size alone does not determine complexity. Please contact me with the approximate number of rows, file size, data sources, update frequency, and required transformations. Large-volume or performance-sensitive projects require a custom assessment
