Exp :5+ Years
Design, develop, and maintain end-to-end data pipelines using Azure services.
Build ETL/ELT processes for ingesting, transforming, and loading large-scale data.
Develop and optimize PySpark applications in Azure Databricks.
Implement scalable data lake, data warehouse, and lakehouse architectures.
Integrate data from multiple sources including databases, APIs, files, and cloud platforms.
Monitor, troubleshoot, and optimize data pipeline performance.
Ensure data quality, governance, security, and compliance standards.
Collaborate with Data Scientists, BI teams, Architects, and business stakeholders.
Implement CI/CD pipelines and DevOps best practices.
Create technical documentation and support production deployments