Job: Setting Up an ETL for Multi-Source Data Consolidation

Job ID: 38678400

Budget: $750 – $1,500 USD

I am looking for a freelance expert to help set up an ETL (Extract, Transform, Load) process to consolidate data from multiple sources.

Context:
I have data stored in various databases, including Notion (as databases) and 3 other databases. The data can be joined across these sources.
The goal is to consolidate two key pieces of information: Profile and Job.
I have tested Airbyte to collect the data, but I am facing issues retrieving 100% of the information.

What I need:
Recommendation of an ETL tool that suits my use case (preferably a simple solution).
Implementation of the ETL to consolidate and transform data from Notion and the other databases.
Storing Notion data in a database in a simple and efficient way.
Ensuring that all critical data is correctly retrieved and processed.

Required skills:
Experience in setting up ETL processes with multiple databases.
Familiarity with data synchronization tools for Notion.
Expertise in ETL tools (Airbyte, alternatives, or custom solutions).
Ability to build robust data pipelines with complex joins and transformations.

Expected deliverables:
A fully operational ETL with complete data retrieval.
Documentation of the process.
Recommendations for best practices for ongoing data management.


Here’s the revised final paragraph including the application instructions:

How to apply:
Please provide the following details in your application:

- Explain how you would approach this project and what steps you would follow.
- Recommend the stack and ETL tools you would use for this task.
- Justify the budget you propose based on the project requirements.
- Share details of your relevant experience, particularly with similar projects.
- Include the keyword GOLD at the begining of your response to ensure you’ve read the description carefully and answered all the requirements correctly.
Related categories: Python Data Cleansing ETL