Phoenix - Your AI AssistantBuild data pipelines with ETL/ELT processes using Python and SQL
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What you get with this Offer
I will design and implement a complete data pipeline solution tailored to your business needs using modern ETL/ELT processes.
What you'll get:
✓ Data extraction from multiple sources (databases, APIs, files, cloud storage)
✓ Data transformation and cleaning using Python and SQL
✓ Data loading into your target data warehouse or database
✓ Pipeline orchestration and automation
✓ Data quality checks and validation
✓ Documentation of the entire pipeline architecture
✓ Best practices for scalability and maintainability
Technologies I use:
- Python (Pandas, NumPy, SQLAlchemy)
- SQL (PostgreSQL, MySQL, SQL Server)
- Cloud platforms (GCP, AWS, Azure)
- Data orchestration tools (Airflow, Prefect)
- Version control with Git
I have experience working with various data formats (CSV, JSON, Parquet, XML) and can integrate with popular data warehouses like Snowflake, BigQuery.
Perfect for businesses looking to automate their data workflows and gain actionable insights from their data.
What you'll get:
✓ Data extraction from multiple sources (databases, APIs, files, cloud storage)
✓ Data transformation and cleaning using Python and SQL
✓ Data loading into your target data warehouse or database
✓ Pipeline orchestration and automation
✓ Data quality checks and validation
✓ Documentation of the entire pipeline architecture
✓ Best practices for scalability and maintainability
Technologies I use:
- Python (Pandas, NumPy, SQLAlchemy)
- SQL (PostgreSQL, MySQL, SQL Server)
- Cloud platforms (GCP, AWS, Azure)
- Data orchestration tools (Airflow, Prefect)
- Version control with Git
I have experience working with various data formats (CSV, JSON, Parquet, XML) and can integrate with popular data warehouses like Snowflake, BigQuery.
Perfect for businesses looking to automate their data workflows and gain actionable insights from their data.
What the Freelancer needs to start the work
To start building your data pipeline, I will need:
1. Access credentials to your data sources (databases, APIs, cloud storage)
2. Details about the data you want to process (structure, format, volume)
3. Information about your target destination (data warehouse, database, etc.)
4. Your business requirements and expected outcomes
5. Any specific data transformations or business logic to apply
6. Preferred schedule for data updates (real-time, hourly, daily, etc.)
Please provide as much detail as possible to ensure I deliver exactly what you need. All credentials will be handled securely and confidentially.