I will build a custom python etl and data pipeline for your business
Data Engineer, B2B Data Collection and Dataset Specialist
About this Gig
I build custom ETL and data pipelines for businesses that need reliable, structured, and automated data workflows.
I can connect data sources, extract and transform data with Python, apply validation and quality checks, and load the final output into platforms such as Amazon S3, Google BigQuery, PostgreSQL, MySQL, or Google Cloud Storage.
My work can include:
Custom Python ETL development
Multi-source data ingestion
Data transformation and normalization
Data quality checks and validation
Unit testing
Structured documentation
Batch pipeline design
This service is ideal for business data, analytics workflows, reporting systems, and recurring data processing tasks.
I focus on practical, maintainable pipelines rather than overly complex infrastructure.
For advanced orchestration, real-time streaming, or more than 3 connectors, please message me before ordering so I can review the scope and recommend the best setup.
Tools & Platforms:
Other
My Portfolio
FAQ
What types of data sources can you connect?
I can work with files, databases, cloud storage, APIs, and structured web data sources depending on the project requirements.
Which destination platforms do you support?
I can deliver data to Amazon S3, Google BigQuery, PostgreSQL, MySQL, Google Cloud Storage, and other compatible destinations.
Do you build the ETL pipeline in Python?
Yes. I primarily build custom Python-based ETL workflows for extraction, transformation, validation, and loading.
Can you add data quality checks?
Yes. I can include validation rules, duplicate checks, missing-value checks, schema checks, and other quality controls.
Do you support recurring or automated pipelines?
Yes. Batch and recurring workflows are supported. For advanced orchestration or real-time streaming, please message me before ordering.
Do you provide documentation and testing?
Yes. Depending on the package, I can include technical documentation, unit tests, and a clear description of the workflow.

