Lochan Akkaraju

Lochan Akkaraju

Sr. Oracle Dba @ Nabors Industries

About Lochan Akkaraju

Lochan Akkaraju is a Senior Oracle DBA with extensive experience in managing OLTP, DSS, and VLDB database systems. He has worked for various organizations, including Nabors Industries, City of Memphis, and Wind River, and possesses expertise in Oracle database versions and replication tools.

Work at Nabors Industries

Lochan Akkaraju has been employed at Nabors Industries as a Senior Oracle DBA since 2015. In this role, he is responsible for managing and optimizing Oracle database systems to ensure high availability and performance. His extensive experience in database management supports Nabors Industries' operational needs in the energy sector.

Previous Experience as Oracle DBA

Before joining Nabors Industries, Lochan Akkaraju worked as a Senior Oracle DBA for the City of Memphis from 2013 to 2015. He also held the position of Oracle DBA at Wind River from 2011 to 2013 and at Herbalife from 2009 to 2011. His roles involved managing large database systems and implementing solutions for data integration and replication.

Education and Expertise

Lochan Akkaraju earned a Bachelor of Engineering (B.E.) degree in Mechanical Engineering from Jawaharlal Nehru Technological University. His educational background complements his technical skills in database management, particularly in OLTP, DSS, and VLDB systems.

Technical Skills and Specializations

Lochan Akkaraju possesses expertise in various Oracle Database versions, including 12c, 11g, 10g, 9i, and 8i. He specializes in providing high availability solutions using Oracle Golden Gate for real-time data integration and data replication. Additionally, he is skilled in database security, troubleshooting, and Unix shell scripting.

Experience with Database Management Tools

Akkaraju has extensive experience with replication tools such as Golden Gate, Streams, AQ, and Materialized Views. His proficiency in these tools enhances his capability to manage large Oracle databases and data warehouse systems effectively.

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