Azure Data Factory ADF Automation
Budget: $15 – $25 CAD
I'm seeking a professional to help with automating tasks in Azure Data Factory. The emphasis will be on improving deployment speed through CI/CD implementation.
Key Requirements:
- Automate Data Ingestion, Transformation, and Loading: The selected freelancer should be proficient in creating automated pipelines for data ingestion, transformation, and loading within Azure Data Factory.
- Hourly Automation Runs: The automation should run hourly to ensure real-time data processing.
- CI/CD Implementation: The primary goal of the CI/CD implementation is to enhance the speed of deployment. It is crucial that the freelancer has prior experience in implementing CI/CD for Azure Data Factory and understands how to optimize deployment processes.
Ideal Skills:
- Proficiency in Azure Data Factory: The freelancer should have a deep understanding of Azure Data Factory and be able to create complex data pipelines.
- CI/CD Experience: Prior experience with CI/CD implementation for Azure services is highly preferable.
- Data Engineering Skills: A strong background in data engineering is required to design efficient data processing pipelines.
The successful candidate will be able to demonstrate a proven track record in similar projects and be able to deliver high-quality, reliable automation.
Key Requirements:
- Automate Data Ingestion, Transformation, and Loading: The selected freelancer should be proficient in creating automated pipelines for data ingestion, transformation, and loading within Azure Data Factory.
- Hourly Automation Runs: The automation should run hourly to ensure real-time data processing.
- CI/CD Implementation: The primary goal of the CI/CD implementation is to enhance the speed of deployment. It is crucial that the freelancer has prior experience in implementing CI/CD for Azure Data Factory and understands how to optimize deployment processes.
Ideal Skills:
- Proficiency in Azure Data Factory: The freelancer should have a deep understanding of Azure Data Factory and be able to create complex data pipelines.
- CI/CD Experience: Prior experience with CI/CD implementation for Azure services is highly preferable.
- Data Engineering Skills: A strong background in data engineering is required to design efficient data processing pipelines.
The successful candidate will be able to demonstrate a proven track record in similar projects and be able to deliver high-quality, reliable automation.