Bhuvana Palini Thatichetla Email & Phone Number

• Enthusiastic Azure Data Engineer with around 1 year of experience in designing and implementing data solutions using Azure Databricks, Azure Data Factory, and Azure Synapse Analytics• Developed skills in building and managing data pipelines leveraging Azure Data Factory for seamless data integration and transformation across various data sources, ensuring efficient data flow and processing• Implemented solutions in utilizing Azure Databricks for big data processing and analytics, enabling efficient handling of large datasets and advanced data analytics for actionable insights• Assisted in developing Azure Blob Storage and Azure Data Lake Storage, providing secure, scalable storage solutions for both structured and unstructured data, enhancing data accessibility and management• Managed tasks such as using Azure Stream Analytics for real-time data processing and analytics, facilitating timely insights and decision-making by processing data streams from multiple sources• Analyzed data with Snowflake for advanced data warehousing and analytics, optimizing data storage, and providing scalable, efficient solutions for large-scale data processing• Knowledgeable with Azure SQL Database and Azure Cosmos DB for managing relational and NoSQL databases, ensuring high performance, scalability, and reliability of data storage solutions• Good in Azure Key Vault for managing secrets, keys, and certificates, ensuring secure access to sensitive data and maintaining data integrity and compliance• Documented procedures for PySpark with Azure Data Lake Storage and Azure SQL Database, facilitating seamless data storage, retrieval, and analysis for comprehensive data solutions• Tested applications to ensure CI/CD practices, utilizing automation tools to streamline deployment processes, enhance development efficiency, and ensure continuous integration and delivery• Learned creating Python and SQL scripts for data manipulation, analysis, and automation tasks, improving data pipeline efficiency, reliability, and enabling robust data operations and insights• Basic Understanding with Power BI for data visualization and reporting, creating interactive, insightful dashboards that facilitate data-driven decision-making and reporting• Well-versed in using Jira & Confluence for project management and collaboration, ensuring efficient workflow, effective communication within Agile teams, and streamlined project execution

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  Azure Data Engineer

  Ncpl Inc

  Jan 2024 - Present - India

  • Designed materials for scalable robust data pipelines and ETL processes using Azure Databricks, enabling real-time data processing and seamless data flow and integration across various systems and platforms• Improved processes by data integration workflows with Azure Data Factory, orchestrating data movement and transformation between various sources and destinations• Managed and optimized tasks such as data storage solutions using Azure Blob Storage, ensuring efficient storage and retrieval of large datasets and configured Azure Stream Analytics for real-time data ingestion and analysis, providing actionable insights from streaming data• Learned about Azure SQL Database, including performance tuning, security management, and query optimization and maintained NoSQL databases using Azure Cosmos DB, ensuring low latency and high availability, improved data access and retrieval• Documented procedures for data warehousing solutions with Azure Synapse Analytics, integrating various data sources for advanced analytics and reporting and worked with Snowflake for cloud data warehousing, enabling efficient data storage, processing, and analytics• Conducted research on secrets, keys, and certificates with Azure Key Vault, ensuring secure access to sensitive data and applications to provide secure access to secrets and credentials• Basic knowledge with Python for data manipulation, transformation, and automation, enhancing the operational efficiency and reliability of data workflows using Python libraries for data analysis and manipulation• Knowledgeable with PySpark code for ETL processes, ensuring high performance and reliability in data integration and transformation tasks across various data sources• Understanding with interactive dashboards with Power BI, enabling data visualization and business intelligence reporting with data refresh schedules and real-time updates to ensure dashboards provided up-to-date insights

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  Chaitanya Bharathi Institute Of Technology

  Electrical And Electronics Engineering