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Jeeva Mahendran
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Atlanta, Georgia, United States
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Senior Software Engineer – Azure PostgreSQL TeamMicrosoft CorporationJul 2016 - Current (9 years 2 months)• Led the design and implementation of a Fabric-based OneLake with a star schema, improving query performance by 30% and reducing data retrieval times by 25% for Azure PostgreSQL. • Engineered a telemetry solution that processes 220k records per second per metric with time-based aggregation, resulting in a 40% performance boost for reports. Authored and integrated secure, high-quality cloud solutions adhering to industry's best practices and security guidelines. Actively participated in design and code reviews, providing technical feedback and triaging complex system issues to ensure reliability and scalability.- Software EngineerWipro TechnologiesNov 2013 - Mar 2016 (2 years 5 months)• Developed robust enterprise applications using C#/ .NET frameworks alongside Xamarin. Delivered scalable solutions that reduced long-term maintenance costs by 20% while effectively supporting expanding business requirements.
- SSenior Software Consultant• Engineered a large-scale, cloud-based connected-car platform using C#, .NET, and Azure services (APIM, Event Grid, Durable Functions, IoT, and Service Fabric), supporting 600K connected vehicles. • Reduced new vehicle provisioning time dramatically from 20 seconds to just 3 seconds by architecting and deploying high-performance microservices for vehicle registration modules. Spearheaded cross-team initiatives to enhance overall application performance, scalability, and security.
Education
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- Bachelor's degree in technologyPanimalar institute of technology
- AAzure Developer Associate Xamarin Certified Mobile Professional
- AAzure AI Engineer Associate Microsoft
Projects (professional or personal)
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- AAzure PostgreSQL InsightsAdvanced analytics solutions for Azure PostgreSQL. Processed 220000 records per second per metric, resulting in a 40% overall performance boost for business reports and enabling real-time, actionable business insights. IoT-enabled connected-car solution using Azure's event-driven architecture and real-time telemetry processing. Supported 600K connected vehicles and reduced new vehicle provisioning times from 20 seconds to 3 seconds, dramatically enhancing operational efficiency. Built a robust synchronization framework for a legacy audit application, enabling offline-first capabilities and seamless data synchronization in environments with limited or no connectivity. This innovation improved data reliability by approximately 30%, ensuring c
- SSmart Car Connectivity
- OOffline Audit Application