• Expertise in end to end implementation ELK Stack covering Elasticsearch, Logstash, and Kibana.
• Conceptual good understanding about Elastic search cluster ,Shards and replica
• Conceptual good understanding about Elastic search configuration, API and local gateway.
• In depth analysis of mapping ,Indexing and operations
• In depth understanding of transactions logs and Lucene Indexing.
• In depth understanding of multiple indices, index aliases and cross-index operations.
• In depths understanding configurations options, ,mappings and APIs and available settings
• Understanding of Search query DSL
• In depth understanding of search components, aggregations, search types,, highlighting and other options.
• In depth knowledge of filebeat, bitSets and Lucene
• In depth understanding of aggregations and nested document relations.
• In depth understanding of cluster state recovery, low level replication , low level recovery and shared allocation.
• In depth understanding of performance tuning, more on data flow and memory allocation.
• Good understanding in Kibana and cluster monitoring
• Good understanding in Hadoop Environment and its eco system and infrastructure.
• Expertise in Tuning and troubleshooting of Elastic search and its stack
• Excellent knowledge in O/S and networks.
• Expertise in security of the Elastic search and its stack.
• Upgrade elastic search version and its stack like kibana ,logstash.
• Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.

Excellent troubleshooting skill for elastics search.