Rajasekar Dhanasekaran Email & Phone Number | 1)Experience working with large scale data processing systems within google like flume, dremel. 2)Hands on experience with solving performance, security, scalability and reliability problems for yahoo outbound mail system. 3)Devised and implemented mechanisms to prevent abuse of the yahoo outbound mail server. 4)Experience in fusing MySQL and HDFS to build a new kind of distributed scalable storage system, with realtime data retrieval. 5)Experience in Object oriented code design and tuning algorithm implementations to maximize performance. 6) Handled huge volumes of data and generated analytic metrics using Hadoop and used that information in system design decisions .

Rajasekar Dhanasekaran

1)Experience working with large scale data processing systems within google like flume, dremel. 2)H...
Sunnyvale, California, United States

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Rajasekar Dhanasekaran’s Email rajasekar@google.com

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Rajasekar Dhanasekaran’s Location Sunnyvale, California, United States

Rajasekar Dhanasekaran’s Current Industry Sigma Computing

Rajasekar Dhanasekaran’s Prior Industry Google | Yahoo | Reveal Design Automation | Vmware

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Software Engineer

2023-02-01T00:00:00.000Z - Present

Senior Software Engineer

2018-11-01T00:00:00.000Z - 2023-02-01T00:00:00.000Z

Software Engineer Developer at Yahoo Mail Backend

2011-07-01T00:00:00.000Z - 2012-10-01T00:00:00.000Z

Software engineering Intern

2010-09-01T00:00:00.000Z - 2010-12-01T00:00:00.000Z

VMWare MTS intern

2010-05-01T00:00:00.000Z - 2010-08-01T00:00:00.000Z

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Rajasekar Dhanasekaran is a 1)Experience working with large scale data processing systems within google like flume, dremel. 2)Hands on experience with solving performance, security, scalability and reliability problems for yahoo outbound mail system. 3)Devised and implemented mechanisms to prevent abuse of the yahoo outbound mail server. 4)Experience in fusing MySQL and HDFS to build a new kind of distributed scalable storage system, with realtime data retrieval. 5)Experience in Object oriented code design and tuning algorithm implementations to maximize performance. 6) Handled huge volumes of data and generated analytic metrics using Hadoop and used that information in system design decisions .