Key Achievements:

Redesigned hotel cache architecture: Employed CQRS and Event Sourcing to streamline data flow and optimize for both accuracy and scalability.

Improved performance and scalability: Created a system capable of handling high-frequency data changes while maintaining robust cache performance.

Senior Java engineer working on DDN Cloud storage, High speed Named object storage compatible with Amazon S3 and OpenStack Swift

• Design and implementation of distributed Named object Namespace layer built on top of HBase and Hadoop HDFS high availability and support 512 concurrent Operation per data node.

• Design and implementation of Object versioning in accordance with high availability and consistency throughout the cluster.

• Design Hbase schema and object row key to give high-speed object GET/Search and avoid SPOF and increase cluster utilization.

• Design and implementation of cross-region replication engines between multiple data centers

• Implementation of MapReduce jobs for rolling upgrade.

• Design and implementation of backend Train reservation services API using SOAP and REST Architecture style (Jersey, spring, JSON).

• Diagramming both logical and physical aspects of system architecture

• Partaking in face to face design and planning sessions with client and frontend team.

• Performing code reviews and providing technical guidance to team members

• Profiling and application performance testing.

• Troubleshooting, analyzing and solving production issues

• MapReduce jobs for analyzing and visualizing application performance and SLA using Hadoop and Graphite

• Technical Environment:

REST (Jersey), Spring, webservices(JAXWS), Tomcat, memcached, MongoDB, Continuous Integration(Jenkins, Sonar, SoapUI,Maven),Junit, Mockito

Definition of service quality contract (SLA / OLA)

• Definition of quality of service contract for the new service route

• Specification and implementation of indicators for monitoring the SLA (JMX, Nagios /Centreon)

• Monitoring indicators (JMX)

Audit deliveries before put in production

• Audit Code

• Application Profiling / Architecture Testing

Test scalability - performance audit

• Load Testing / strength / aging

• Analysis of load testing (JVM / caches / IO / memory / CPU / ...)

Recommendations / Tuning

• test the Choice of architecture.

• JVM Recommendation and tuning

• pools Sizing (http / mysql / JMS)