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I will develop azure etl pipelines using databricks
United States
54 orders completed
Code Bug Fix Repeat
About this Gig
I provide basic ETL pipeline development using Azure Databricks and Apache Spark. This service is suitable for small to medium data workloads and learning or prototype-level implementations.
What I do:
- Build ETL pipelines using PySpark / Spark SQL
- Read data from Azure Data Lake, Blob Storage, or SQL sources
- Apply transformations (filtering, joins, aggregations, data cleanup)
- Load processed data into Delta Lake or Azure SQL
- Create clean and well-structured Databricks notebooks
- Basic validation and performance-aware Spark code
Tech Stack:
- Azure Databricks
- Apache Spark (PySpark, Spark SQL)
- Azure Data Lake / Blob Storage
- Delta Lake
Best suited for basic ETL workflows, data preparation, and Databricks practice projects.
Message me before ordering to confirm data sources and requirements.
Expertise:
Big data
•
Data extraction
•
Data validation
•
ETL
Technology:
Python
•
Databricks
FAQ
Do you provide Azure resources?
No. The buyer must provide access to Azure Databricks, storage, and required data sources.
What data sources do you support?
Azure Data Lake, Azure Blob Storage, Azure SQL Database, and flat files (CSV, Parquet, JSON).
What programming language do you use?
Primarily PySpark and Spark SQL in Azure Databricks.
Will I get the Databricks notebooks?
Yes. All notebooks created during the project will be shared.
Should I contact you before ordering?
Yes. Please message me first to confirm requirements, data sources, and access.

