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