I will design, build, and optimize scalable data pipelines using Microsoft Azure, Azure Data Factory, and Azure Databricks to transform your raw data into powerful business insights.
With strong expertise in cloud data engineering and analytics.
What I Will Do For You
- Build end-to-end ETL/ELT pipelines in Azure
- Create dynamic and automated workflows in Azure Data Factory
- Develop scalable data processing solutions using PySpark & Spark SQL
- Integrate APIs, SQL databases, Data Lake, Blob Storage, and third-party sources
- Optimize pipeline performance and reduce cloud costs
- Implement data cleaning, validation, and transformation
- Deploy secure and reliable production pipelines
AI & Machine Learning Features
- Build ML models using Azure Databricks (classification, regression, forecasting)
- Data preprocessing and feature engineering for ML
- Model training and evaluation using Python & Spark ML
- Deploy machine learning pipelines in Azure
- Batch and real-time prediction workflows
- AI-driven analytics and insights
Tools & Technologies
- Azure Data Factory (ADF)
- Azure Databricks
- PySpark / Spark SQL
- Azure Data Lake Storage
- Azure SQL Database
- Python
- Machine Learning (ML)
- Data Modeling & Transformation