ETL/ELT Pipeline Developer (Python | Data Engineering | API Integration)

I'm looking for an experienced Data Engineer to help with a small ETL/ELT project built in Python. The work involves building or improving a lightweight data pipeline that extracts data from one or more sources (API, database, or files), transforms it into the required format, and loads it into a target database or data warehouse. This is a small project with a budget under $100, but if the collaboration goes well, I have additional data engineering work available. Responsibilities Build or modify an ETL/ELT pipeline using Python Extract data from APIs, CSV/JSON files, or SQL databases Clean, transform, and validate data Load processed data into a database or data warehouse Write clean, maintainable Python code Optimize performance where needed Document the solution briefly Required Skills Python ETL / ELT Data Engineering Python Scripting SQL Data Transformation Data Modeling API Integration REST APIs PostgreSQL or MySQL Nice to Have FastAPI Apache Airflow Apache Kafka AWS (S3, Lambda, EC2) Docker MongoDB Redis Elasticsearch Snowflake Data Warehouse CI/CD GitHub Actions AI/ML Data Pipelines Deliverables Working ETL/ELT pipeline Well-structured Python code Basic documentation Successful end-to-end data processing When applying, please include: Similar ETL/ELT or Python data engineering projects you've completed Technologies used Estimated completion time Looking for someone who can start immediately and communicate clearly throughout the project.