Usama T.

I help companies design, scale, and optimize Elastic Stack platforms for Security (SIEM), Observability, and Search - with a strong focus on performance, reliability, and real operational value. As an Elastic Certified Engineer, I’ve delivered production-grade Elastic deployments across cloud and on-prem environments, supporting use cases from real-time threat detection and SOC operations to full-stack application monitoring and large-scale search analytics. Whether you’re building from scratch, migrating from another platform, or struggling with a slow or unstable cluster - I bring deep hands-on expertise to make Elastic work the way it should. What I Specialize In? 🛡️ Elastic SIEM & Security Analytics - End-to-end Elastic Security (SIEM) implementation - Log onboarding from firewalls, servers, EDR, cloud, and applications - Detection rule creation and alert tuning - MITRE ATT&CK –aligned security use cases - SOC dashboards, investigations, and alert workflows 📊 Observability & APM - Full-stack observability using Logs, Metrics, Uptime, and APM - Distributed tracing and performance bottleneck analysis - Kubernetes, microservices, and hybrid cloud monitoring - SLO/SLA dashboards and proactive alerting 🔎 Elasticsearch for Search & Data Analytics - High-performance search architectures - Index design, mappings, and query optimization - Relevance tuning and large-scale data modeling - Business intelligence dashboards in Kibana ⚙️ Elastic Stack Engineering I don’t just deploy Elastic - I engineer stable, scalable, and cost-efficient clusters. - Elasticsearch cluster architecture (hot/warm/cold tiers) - High-ingest pipeline design with Logstash & Ingest Pipelines - Index Lifecycle Management (ILM) & Snapshot Lifecycle Management (SLM) - Performance tuning (shards, queries, caching, storage strategy) - Secure deployments with role-based access and best practices - Elastic Cloud, self-managed, and hybrid architectures 🔄 Data Pipelines & Integrations - Advanced Logstash pipeline development (parsing, enrichment, transformation) - Elastic Agent & Beats (Filebeat, Metricbeat, Winlogbeat, Auditbeat, etc.) - Kafka, APIs, databases, and custom application integrations - Backpressure handling and high-throughput ingestion design 🤖 Advanced Capabilities - Elastic Machine Learning for anomaly detection - AI-powered search and RAG use cases with Elasticsearch - AI Assistant integration for faster investigation and root cause analysis