Gayathri Kesavalu
Azure Data Engineer @BMO
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WORK HISTORY
Azure Data Engineer @BMO
CA
Created and orchestrated data pipelines using Azure Data Factory (ADF), enabling the integration and transformation of data from diverse sources, providing actionable insights for business stakeholders• Managed Azure Data Lake Storage Gen2, optimizing the storage and security for large-scale big data analytics projects• Utilized Azure Synapse Analytics for data warehousing, ensuring high-performance data querying and seamless integration with business intelligence tools like Power BI• Implemented real-time analytics solutions using Azure Stream Analytics, integrating with Power BI, Azure Functions, and Event Hubs to enable business users to make data-driven decisions in real-time• Deployed and managed Databricks clusters leveraging Apache Spark for efficient processing of large-scale datasets in big data analytics and machine learning projects• Spearheaded the migration of on-premise data systems to Snowflake, optimizing cloud-based data architecture and implementing efficient data ingestion and transformation strategies• Designed partitioning strategies and consistency models for high availability and low-latency access to distributed databases, including Azure Cosmos DB• Led the automation of business workflows and data integration using Azure Logic Apps to reduce manual processes and enhance operational efficiency• Optimized performance for Azure SQL Database by applying techniques like indexing, query tuning, and caching to improve query performance and reduce latency• Ensured data security and compliance by implementing RBAC, encryption, and other Azure security practices
EDUCATION
Anna University Chennai
Master of Engineering - MEng, Mechatronics, Robotics, and Automation Engineering
Anna University Chennai
Bachelor of Engineering - BE, Electronics and instrumentation enginnering
ABOUT GAYATHRI KESAVALU
I am a results-driven Azure Data Engineer with over 4+ years of experience in designing, developing, and deploying scalable data solutions using Azure Data Engineering tools such as Azure Data Lake, Azure Databricks, and Azure Data Factory. Proficient in building automated data pipelines, optimizing data storage, and ensuring high-performance data transformations for large-scale analytics projects. I have extensive experience with ETL/ELT processes, real-time data streaming, big data processing, and integrating data from disparate sources into cohesive business intelligence solutions
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