- Design, develop, and maintain scalable data pipelines and data integration solutions using Azure cloud services.
- Build and manage ETL/ELT processes using Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics .
- Develop and optimize data lakes and data warehouses using Azure Data Lake Storage (ADLS), Synapse, and SQL databases .
- Create data transformation and processing workflows using PySpark, Python, SQL, and Spark technologies .
- Ensure data quality, security, governance, and compliance by implementing Azure security and monitoring best practices.
- Monitor, troubleshoot, and optimize data solutions for performance, scalability, and cost efficiency across Azure environments.
- Collaborate with business stakeholders, data analysts, and data scientists to deliver reliable data-driven analytics and reporting solutions .
Regards
Prashaanthini
📌 Azure data engineerF discussion - Chennai
🏢 Tata Consultancy Services
📍 Chennai
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