Microsoft Azure Analytics Services Expert, Dhanbad

Roles&Responsibilities: Design and develop end-to-end data pipelines using Azure Data Factory Build scalable data processing solutions using Azure Databricks with PySpark and Spark SQL Develop and optimize ETL/ELT workflows for both structured and unstructured data Integrate data from multiple sources including APIs, databases, and cloud platformsImplement and manage Azure Data Lake Storage (ADLS Gen2) and data warehouse solutions Monitor, troubleshoot, and optimize pipeline performance and processing efficiency Implement data quality checks, validation rules, and governance standards Collaborate with data analysts, business stakeholders, and DevOps teams for successful deliveryManage CI/CD pipelines and deployments using Azure DevOps Ensure data security, compliance, and cost-performance optimization in Azure environments