Azure Data Pipeline Design

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About this service

Summary

Specialized in designing and implementing complex data pipelines using Azure Data Factory and Databricks. Deliver quality code for seamless data integration.

What's included

  • Pipeline Design Documentation

    Comprehensive documentation outlining the architecture and design of the Azure Data Pipeline. 1. High-level architecture diagrams, detailed component descriptions, data flow diagrams, and design rationale.

  • Data Extraction and Ingestion Scripts

    Scripts or configuration files used for extracting data from various sources and ingesting it into Azure Data Factory or similar services. 1. SQL queries, Data Factory pipelines, API integration scripts.

  • Data Transformation Scripts

    Scripts used for transforming data within Azure services such as Azure Databricks or Azure Synapse Analytics. 1. PySpark scripts, SQL code for transformations, and data processing logic.

  • Data Storage Configuration

    Configuration settings for data storage solutions like Azure Data Lake Storage or Azure SQL Data Warehouse. 1. Storage schemas, partitioning strategies, and access controls.

  • Deployment Scripts and Instructions

    Scripts and instructions for deploying the pipeline to production. 1. Deployment scripts, configuration files, and step-by-step deployment guide.

  • Post-Deployment Support:

    Support is provided after deployment to address any issues or questions. 1. Support contact details, issue tracking, and resolution procedures.


Skills and tools

Database Engineer

Data Analyst

Data Engineer

Apache Spark

Apache Spark

Azure

Azure

Databricks

Python

Python

SQL

SQL

Industries

IT Infrastructure