Jul 2024 – Present · 1 yr 11 mos

• ➤ As the Elastic engineering lead, I architected and deployed highly scalable, high-performance solutions leveraging Elasticsearch, Logstash, Kibana, and Beats for advanced data search, visualization, and analytics. My responsibilities included cluster design and optimization, data indexing strategies, query performance tuning, and maintaining high availability with minimal latency.
• ➤Beyond my core ELK responsibilities, I played an instrumental role at HyperFlex, a pure-play Elastic consulting firm and Elastic partner. I designed and implemented distributed systems integrating Elasticsearch for rapid, real-time data ingestion, processing, and analysis, ensuring robust performance through redundancy, load balancing, and fault tolerance.
• ➤ Spearheading several key initiatives, I developed robust Elasticsearch solutions for clients across various industries, optimizing search and data retrieval processes that reduced latency and improved overall system performance. My deep understanding of the Elastic Stack allowed me to address complex client challenges and deliver high-quality, reliable products.

Jul 2022 – Present · 3 yrs 11 mos

• ➤ Led Elasticsearch consulting projects for 10-15 clients, delivering tailored solutions spanning search, analytics, logging, and APM implementations based on specific business needs.
• ➤ Deployed Elasticsearch to collect logs from micro services based architecture via Beats,Logstash and Kafka as buffer queue.
• ➤ Deployed APM agents for Java, .NET, and Python applications to capture and transmit performance metrics to Elasticsearch.
• ➤ Developed custom ingest processors to enhance data enrichment and transformation within Elasticsearch ingest pipelines.
• ➤Developed custom dashboards and visualizations in Kibana, Automated reporting processes to provide stakeholders with regular updates on application performance and health metrics.
• ➤ Performed Elasticsearch Upgrades from 6.x and 7.x to 8.x
• ➤Implemented observability tools such as DataDog, Prometheus, Grafana, and Elasticsearch for logging, monitoring, alerting, and troubleshooting distributed systems.
• ➤ created complex data pipeline using logstash using various input plugins like beats, tcp, udp and kafka and various filters like grok , mutate and dissect
• ➤ Utilised terraform to provision infrastructure within AWS environment.
• ➤ Created Ansible playbook to deploy elastic agents, filebeat, metricbeat on more than 1000 servers
• ➤ Developed CI/CD system with Jenkins on Kubernetes container & utilized Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy.

Jan 2022 – Jun 2022 · 5 mos

Jul 2024 – Present · 1 yr 11 mos

• ➤ Co-founded Hyperflex, a specialized consulting division focused on Elastic-powered observability, search, and analytics solutions
• ➤ Built and scaled a high-performing Professional Services team delivering end-to-end consulting, architecture, and implementation
• ➤ Led delivery of large-scale Elastic solutions across observability, search, and security domains for enterprise clients
• ➤ Trusted partner to global organizations including JPMorgan Chase, Walgreens, Fitch Group, and Vanguard
• ➤ Spearheaded development of key accelerators:
• Automated Elastic upgrade framework reducing downtime and operational risk
• AI-driven observability agents enabling proactive monitoring and faster incident resolution
• ➤ Delivered mission-critical implementations improving system visibility, reliability, and performance at scale
• ➤ Collaborated with business and technology stakeholders to align solutions with strategic and operational goals