Haaris Khan — DevOps Engineer

• Passionate about finding positive solutions to complex data problems with a qualitative delivery structure. • A decade of professional IT Experience working as a Big Data Engineer in customer centric organisations, with domain knowledge of big data analytics and machine learning. • Installing, configuring, monitoring and maintaining Apache Hadoop clusters in the cloud using various distributions including Hortonworks and Cloudera. • Experience in working with Hadoop ecosystem components: HDFS, Hive, PIG, Sqoop, Flume, Zookeeper, Yarn management and Oozie jobs. • Experience in working on Hadoop Cluster including cluster planning, designing, implementing, bench marking, performance tuning and monitoring. • Hands on experience in Linux administration – user management, storage management, network management and shell scripting. • Strong knowledge on Hadoop HDFS architecture and Map Reduce Framework. • Working knowledge of NOSQL Databases: MongoDB, HBase. • Experience in working with large volumes of streaming data using Flume and Kafka. • Tuning SPARK and YARN clusters to utilise maximum resources from the available resources. • Advanced Hands on Experience in troubleshooting operational issues and identifying root causes of a Hadoop cluster. • Exposure to handling Linux/Unix Shell Scripting for automation process. • Experience in Working on Cloud Environments like AWS, GCP. • Working experience with DevOps practices in application technology including continous integration and delivery processes using Jenkins job, Bamboo, code deploy. • A Big Data enthusiast, have taken multiple sessions on Hadoop technologies on Corporate as well as academic level, passionate to learn new technologies. • Good experience in Agile Methods and Scrum "The joy of learning is in implementing"

Stackforce AI infers this person is a Big Data Engineer with expertise in cloud infrastructure and analytics.

Location: Hyderabad, Telangana, India

Experience: 11 yrs 3 mos