Waseem A.

I help organizations design, fix, scale, and modernize Elastic (ELK) Stack deployments for Elastic Security (SIEM / EDR), Observability, and high-volume search use cases. I’m a 2× Elastic Certified Engineer with hands-on experience delivering 200+ Elastic Stack implementations across enterprise and mid-size environments - handling terabytes to petabytes of data with performance, reliability, and cost efficiency in mind. If your Elasticsearch cluster is slow, unstable, oversized, undersized, or just confusing - I’m the person you call before it becomes a business outage. What I Do Best 🛡️ Elastic SIEM & Security 1. End-to-end Elastic Security deployments 2. SIEM architecture, log onboarding, detection engineering 3. Use case development (MITRE ATT&CK aligned detections) 4. Integration with firewalls, EDR, AD, cloud platforms, and custom apps 5. SOC dashboards, alert tuning, and noise reduction 6. AI Assistant and Agentic / RAG Workflows 📊 Observability & APM 1. Full-stack observability using Elastic APM, Metrics, Uptime, and Logs 2. Distributed tracing & performance bottleneck analysis 3. Kubernetes, microservices, and cloud-native monitoring 4. OpenTelemetry integrations 5. SLO/SLA dashboards for operations teams 6. AI Assistant and Agentic / RAG Workflows 7. SNMP Monitoring of network devices 🔎 Elasticsearch for Search & Analytics 1. High-performance search architecture 2. Index design, mappings, and query optimization 3. Relevance tuning & large-scale data modeling 4. Kibana dashboards, reporting, and executive visualizations ⚙️ Elastic Stack Architecture & Engineering I don’t just “install ELK.” I engineer platforms that stay fast and stable under real load. 1. Cluster design (hot/warm/cold/frozen tiers) 2. Scaling strategies & shard optimization 3. Index Lifecycle Management (ILM) 4. Performance tuning & troubleshooting 5. Upgrade planning and zero-downtime migrations 6. Elastic Cloud, ECE, ECK, and self-managed clusters 7. In depth fine tuning for Elasticsearch, Logstash, Kibana 🔄 Data Pipelines & Integrations 1. Advanced Logstash pipeline engineering 2. Elasticsearch ingest pipelines & data enrichment 3. Elastic Agent, Beats (Filebeat, Metricbeat, Winlogbeat, Auditbeat, etc.) 4. Kafka, databases, APIs, and custom log sources 5. Data normalization, parsing, and ECS alignment 🤖 Advanced Use Cases 1. Elastic + Machine Learning 2. AI-powered search and RAG pipelines using Elasticsearch 3. Anomaly detection for security and operations 4. Executive dashboards and business intelligence use cases 5. AI Assistant and Agentic / RAG Workflows 🔁 Migrations to Elastic I help organizations move away from expensive or limited platforms and into scalable Elastic architectures: Splunk → Elastic QRadar → Elastic SIEM OpenSearch / OpenDistro → Elasticsearch Solr → Elasticsearch 🧠 Why Clients Hire Me ✔ I focus on architecture and long-term scalability, not quick fixes ✔ I speak both technical and business language ✔ I design systems that reduce infrastructure cost and alert fatigue ✔ I’ve seen (and fixed) almost every common Elasticsearch mistake 💬 How I Can Help You New Elastic Stack implementation SIEM or Observability deployment Cluster performance issues Scaling or redesigning architecture Version upgrades Health checks and optimization reviews Proof of Concept (PoC) development If your Elastic environment is mission-critical, let’s build or fix it the right way. Send me a message with your current setup and challenges - I’ll help you map the best path forward.