Welcome! Your Elasticsearch & OpenSearch Expert Looking for a reliable expert to design, optimize, or troubleshoot Elasticsearch or OpenSearch platforms? I’m Eraste Akande, Elastic Certified Engineer and Elastic Gold Contributor, with strong experience delivering scalable, high-performance search, observability, and analytics solutions. I help companies turn complex data into fast, reliable, and actionable systems, from cluster architecture to production-ready pipelines. What I Do Best? I design and optimize end-to-end Elastic & OpenSearch solutions, including: - Elasticsearch & OpenSearch cluster architecture and scaling - Migration from relational or NoSQL databases to Elasticsearch / OpenSearch - Elasticsearch ↔ OpenSearch migrations (both directions) - Search, analytics, and observability use cases - Log and event ingestion pipelines - Performance tuning and troubleshooting - Automation and integrations using Python Technologies I work with daily: Elasticsearch, OpenSearch, Logstash, Beats, Kibana, OpenSearch Dashboards, Kafka, Python Why Clients Choose Me ? ✅ Elastic Certified Expert Elastic Certified Engineer (since 2022) Elastic Certified Observability Engineer (2025) Elastic Certified Analyst (2025) ⭐ Elastic Gold Contributor Recognized by Elastic for consistent contributions, technical support, and knowledge sharing across the community. 🔄 Migration Specialist I help organizations safely migrate: - Relational databases (PostgreSQL, MySQL, SQL Server, Oracle) → Elasticsearch / OpenSearch - NoSQL databases (MongoDB, Cassandra, etc.) → Elasticsearch / OpenSearch - Elasticsearch → OpenSearch - OpenSearch → Elasticsearch With minimal downtime, zero data loss strategies, and performance validation. 🔍 OpenSearch Specialist Hands-on expertise in OpenSearch cluster setup, optimization, dashboards, and ingestion pipelines as a flexible and cost-effective alternative. 🐍 Python-Driven Automation I use Python to automate indexing, optimize queries, integrate third-party systems, and build efficient custom workflows. 🔧 End-to-End Delivery From architecture design to production optimization, I provide complete, tailored solutions — not just advice. 🤝 Client-Focused Approach I prioritize performance, scalability, and maintainability, ensuring solutions that grow with your business. Services I Offer - Elasticsearch / OpenSearch Cluster Setup & Optimization - Database → Elasticsearch / OpenSearch Migration - Elasticsearch ↔ OpenSearch Migration - Search & Analytics Architecture Design - Custom Kibana / OpenSearch Dashboards - Log & Event Ingestion Pipelines (Logstash, Beats) - Performance Tuning & Troubleshooting - Python Automation & Integrations Let’s Work Together If you need an expert who understands both the technical depth and real business impact of Elasticsearch and OpenSearch, including complex migrations, you’re in the right place. 📩 Message me today and let’s build or migrate your data platform with confidence.

I am an experienced elasticsearch, logstash and kibana consultant with a passion for getting meaning out of data. I have helped to setup and maintain large and small installations, from small pilot web sites upto TB clusters for multinational companies, on AWS and Google Cloud. Main technlogies: Non relational database: Elasticsearch Relational database: mySQL, postgres SQL Visualization: Kibana, Grafana Ingestion: Logstash, SQS Web server: Nginx Scripting: Python, PHP, AWS Lambda OS: Ubuntu AWS, cloudwatch, EC2, IAM, SQS

I have 8 years of experience in Elasticsearch, Kibana, Logstash, and Beats. I provide Elasticsearch and Opensearch consultancy to companies serving in the fields of e-commerce, cybersecurity, and telecommunication. I have experience in the following areas: Elasticsearch and Opensearch - Installation & configuration on-prem and cloud - Tuning search & indexing speed - Performance optimization - Cost Optimization / Price Optimization - Full text search & NLP - Semantic search - Autocomplete features (search as you type) - Typo fix (spell corrector) - Suggesters (did you mean that ?) - Filtering & Ranking & Sorting - High availability & Fault tolerance & Resilience - Troubleshooting Elasticsearch Issue - Elasticsearch Architecture & Setup according to best practices - Query optimization - Aggregation, sub-aggregation, Highlight - Complex search queries (boolean) - Index mapping, template, multi-fields, rollover, index lifecycle, alias - Index settings, shard & replica count, root-balancing, synonym, analyzer, tokenizer - Best Practices - Log management and monitoring - SIEM Kibana - Business Intelligence - Creating dashboards that help the manager make decisions - Elasticsearch cluster monitoring - Multi tenancy Logstash & Beats - ETL process - Data Management - Data pipeline - Database and Data warehouse Migration / Synchronization - Log file import - Elasticsearch Monitoring - Grok / Mutate / Ruby

I build agentic AI systems that run in production - not prototypes. A couple of years ago my work was mostly Elasticsearch and data infrastructure. It's shifted a lot since then. These days I'm building full AI pipelines: multi-agent workflows with LangGraph and CrewAI, RAG systems on Pinecone and Qdrant, voice AI agents that actually make phone calls (Vapi and ElevenLabs), and security automation that goes from alert ingestion to response without waiting for a human. Some of the more interesting things I've shipped: - An automated SOC workflow that triages SIEM/XDR alerts through L1/L2 AI agents and runs response playbooks - no analyst needed for first-response decisions - A full sales pipeline where AI handles outreach, runs live qualification calls, matches buyers to sellers, and closes deals with e-signatures. Humans only touch exception cases - An employee compliance agent that monitors Slack, has actual conversations with flagged employees, and escalates to an L2 agent trained on company policy via RAG - not just a flag-and-alert system - An AI-driven personalized search engine where results rank differently per user based on real behavioral signals, not a shared relevance score My infrastructure background is deep in Elasticsearch and OpenSearch - cluster design, multi-tenant architectures, ingestion pipelines, and performance work. I once took a 50M-document production cluster from visibly slow to sub-second and called it an 8x improvement. I've also built a full multi-tenant CSOC SaaS on AWS OpenSearch with Wazuh handling the security telemetry. Stack I work with day-to-day: Python (FastAPI, Flask), LangChain, LangGraph, CrewAI, n8n, Make, Supabase, Pinecone, Qdrant, Kafka, Docker, Kubernetes, AWS. LLMs: GPT-4o, Claude, Groq, Llama locally. Voice: Vapi, ElevenLabs, Twilio, Voiceflow. I stay until the thing works. Message me if you have a project that needs a real system.

I specialize in building State-of-the-art AI-powered search engines.. Supporting companies optimize ranking and relevancy for higher find-ability leading to boosting conversion ands sales of their products. Additionally, I provide guidance on creating a superior search user experience (UX), ensuring that users have a seamless search journey through navigating your products. Working with Elasticsearch for over 8 years on various topics (Ranking, User query understanding and intent, NLP, Data-modeling, Scoring, Data Ingestion, built own Elasticsearch as a service, Monitoring) - 📚 Information Retrieval, Search engines & applications (Elasticsearch) - 🦾 AI & ML - 📱 Crafting customer-facing digital products. - 🔍 Data Analytics/Infrastructure, - 📦 Micro-services

Unlock Lightning-Fast, Intelligent Search That Boosts User Engagement & Cuts Costs—With Proven 40% AI Accuracy Gains & 10ms Latency. As an Expert-Vetted Elasticsearch/OpenSearch specialist with 15+ years in data engineering, I've delivered 40+ successful projects on Upwork. Clients hire me to transform complex data challenges into revenue-driving solutions: from slashing batch processing from 126 hours to 2, to handling 75K+ concurrent users at 10ms latency, to reducing GenAI hallucinations by 40% via GraphRAG and knowledge graphs. 🟢 Just Message or Invite—If It's Feasible, I'll Guarantee Results. 🟢 How I Add Value to Your Project: AI & GenAI Mastery: Engineer agentic workflows, RAG/GraphRAG systems, and LLM integrations (OpenAI, HuggingFace, Bedrock) that ground answers in facts, improving search relevance and recommendation accuracy. Result: 40% fewer hallucinations, multilingual NLP for global scale (15+ languages). Elasticsearch/OpenSearch Optimization: Design high-availability clusters (on-prem, Kubernetes, cloud) for semantic/hybrid search, geo-spatial queries, autocomplete, and anomaly detection. Optimize costs, indexing speed, and security—managing 2PB+ data with fault-tolerant setups for SaaS multi-tenancy. Full ELK Stack & Integrations: Build Kibana dashboards for BI insights, Logstash ETL pipelines, and monitoring with Datadog/Prometheus. Migrate data warehouses, sync CDC pipelines, and integrate ML for inferences. Backend Prototyping: Rapid POC development in Java, Python, Node.js to validate ideas fast. Proven Client Success Stories: "Anil reduced our ES batch processing from 126h to 2h, stabilizing systems foundational to our business." (Enterprise client, $31K project) "Improved GenAI accuracy by 40% using GraphRAG—exceeded expectations." (SaaS platform, $9K project) "Handled 75K+ users at 10ms latency; a true difference-maker." (Web app integration, $6K project) See all 5-star reviews below for more: Clients praise my solution-oriented approach, clear communication, and commitment to quality. With federated clusters, cross-cluster replication and SIEM security, I've built resilient systems for e-commerce, finance and more. Let's discuss how I can scale your search/AI—message me today for a quick consultation!

Search Relevance & Product Analytics Specialist Algolia • Typesense • MeiliSearch • OpenSearch • Product Analytics • AI Retrieval I help SaaS, ecommerce, and AI companies improve search relevance, product discovery, and conversion performance through advanced search infrastructure and behavioral analytics. My work combines: * Search optimization * Product analytics * AI-powered retrieval * Personalization systems * Conversion optimization Search Expertise * Algolia optimization & relevance tuning * Typesense, MeiliSearch, ElasticSearch & OpenSearch implementation * Hybrid keyword + vector search * Semantic & neural search * InstantSearch & autocomplete experiences * Recommendation systems & personalization * No-result search optimization * Dynamic re-ranking using behavioral events Product Analytics & Growth * PostHog, Mixpanel, Amplitude & Rudderstack * Event tracking architecture * Funnel analysis & retention optimization * Behavioral segmentation * A/B testing & conversion analysis * Search analytics tied directly to engagement and revenue metrics AI Retrieval & Vector Search * RAG pipelines * Pinecone, Weaviate & pgvector * Semantic retrieval optimization * AI-powered discovery systems * Voice & conversational search Platforms & Integrations * Shopify * WooCommerce * React / Next.js * Flutter & FlutterFlow * Hygraph * Airtable Supporting stack includes React, Node.js, Python, PostgreSQL, Docker, AWS, and Kubernetes.

🏆 Top Rated 👨‍💻 𝘈𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 immediately ✅ 100% Job Success 🚀 On-time Delivery 𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗱𝗲𝘃𝗲𝗹𝗼𝗽 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀, 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗲𝗻𝗵𝗮𝗻𝗰𝗲 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀. With expertise in Python, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, SaaS platforms, and cloud technologies, I build scalable solutions from concept to production. 🎯 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀: ▪ Artificial Intelligence (AI) ▪ Machine Learning (ML) ▪ Knowledge AI Assistant ▪ Generative AI ▪ Large Language Models (LLMs) ▪ Retrieval-Augmented Generation (RAG) ▪ AI Agent Development ▪ Multi-Agent Systems ▪ Prompt Engineering ▪ Natural Language Processing (NLP) ▪ Deep Learning ▪ Predictive Analytics ▪ Data Modeling ▪ SaaS Development ▪ Backend Development ▪ API Development ▪ Workflow Automation ▪ Cloud Computing ▪ MLOps ▪ Data Engineering ▪ Dashboard & Reporting ▪ AI App Development My experience includes developing AI chatbots, multi-agent systems, document intelligence platforms, recommendation engines, predictive analytics solutions, workflow automation tools, and enterprise SaaS applications. I specialize in integrating OpenAI, Claude, Gemini, and open-source LLMs with modern backend architectures using FastAPI and cloud infrastructure on AWS. 𝗙𝗿𝗼𝗺 𝗱𝗮𝘁𝗮 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗺𝗼𝗱𝗲𝗹 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘁𝗼 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁, 𝗺𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻, I deliver end-to-end AI solutions that help businesses reduce operational costs, increase efficiency, and unlock valuable insights from their data. ⚙️ 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: ➤ AI & Machine Learning OpenAI API, Anthropic Claude API, Google Gemini API, LangGraph, LangChain, CrewAI, AutoGen, Retrieval-Augmented Generation (RAG), Vector databases, AI agent orchestration, Natural Language Processing, Prompt engineering, MCP (Model Context Protocol), GPT-4, Llama, Hugging Face, TensorFlow, PyTorch, Scikit-Learn, XGBoost ➤ RAG & Vector Databases Pinecone, Weaviate, ChromaDB, FAISS, Qdrant, Elasticsearch ➤ Backend Development Python, FastAPI, Node.js, Express.js, Django, Flask, REST APIs, GraphQL, WebSockets ➤ Frontend Development React, Next.js, Angular, Vue.js, jQuery, Tailwind CSS, RESTful APIs, Playwright, JavaScript, TypeScript, HTML, CSS ➤ Databases Development PostgreSQL, MySQL, MongoDB, Redis, Airtable, DynamoDB, Neo4j, Elasticsearch, OpenSearch ➤ Cloud & DevOps AWS, GCP, Azure, Docker, Kubernetes, Terraform, GitHub Actions, CI/CD Pipelines, Linux ➤ Data Visualization Power BI, Tableau, Looker, Kibana, Grafana, Elasticsearch, Streamlit, Plotly, Dash, R ➤ Automation & Integration OpenClaw, Zapier, Make, n8n, Apache Airflow, Pipedream, Celery ➤ CRM & Sales Automation HubSpot, Salesforce, GoHighLevel (GHL), Pipedrive, Zoho CRM, Streak CRM, Voice AI, Speech-to-text, Text-to-speech ➤ Communication Automation Twilio, SendGrid, Gmail API, Outlook API, Slack, Microsoft Teams, WhatsApp Business API ➤ Authentication & Payments OAuth, JWT, User management, Stripe, Subscription management ➤ Other Experience: PHP Python Website Design Graphic Design Cloud Computing Software Architecture AI Chatbot Development AI Model Development AI Development AI Agents I offer 𝟯𝟬 𝗺𝗶𝗻 𝗽𝗮𝗶𝗱 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻𝘀 for AI architecture review, build vs. buy decisions, and MVP scoping. ━━━━━━━━━━━━━━━━━━━━━━━ 💬 𝗟𝗘𝗧’𝗦 𝗕𝗨𝗜𝗟𝗗 ━━━━━━━━━━━━━━━━━━━━━━━ 👉 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 — 𝗜’𝗹𝗹 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝗱 𝗶𝘁 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘄𝗮𝘆. 🏢 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 Healthcare, Finance & FinTech, E-commerce, Real Estate, Education, Legal Tech, Marketing & Sales, Logistics & Supply Chain, Human Resources, Customer Support, Manufacturing, SaaS Startups & Enterprises 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Data Scientist, AI Developer, Machine Learning Engineer, Business Intelligence Developer, Power BI Expert, Dashboard Developer, Python Developer, Data Analyst, AI Agent Developer, Generative AI, ChatGPT, OpenAI, RAG, ETL, SQL, Data Engineering, SaaS Development, Analytics Consultant, KPI Dashboard, Data Visualization, Backend Engineer, Full Stack Developer, API Integration, AI Engineer, MCP Server, LLM Apps, RAG Pipeline, Vector Database, Graph Database, LangChain, LangGraph, GraphRAG, LangSmith, Neo4j, Elasticsearch, Kibana, Grafana, OpenClaw, OpenSearch, AI Bot, Agentic AI, Workflow Automation, AI Automation.

Are your logs getting expensive, Elasticsearch slowing down, or monitoring systems hard to manage? I help businesses build and optimize scalable, cost-efficient logging and monitoring systems using ELK Stack and modern DevOps tools. With 5+ years of experience in production environments, I focus not only on performance and reliability — but also on reducing infrastructure and storage costs without sacrificing visibility. What I can help you with: ✔ Elasticsearch cluster setup, scaling & performance tuning ✔ Cost optimization (index lifecycle, shard strategy, storage reduction) ✔ Query optimization to reduce load and improve response time ✔ Logstash pipelines (efficient parsing, reduced ingestion overhead) ✔ Kibana dashboards, RBAC, and alerting ✔ Grafana monitoring & visualization ✔ Kubernetes & Docker deployments (optimized resource usage) ✔ NGINX configuration and performance tuning ✔ AWS infrastructure setup with cost-aware architecture ✔ Automation using Ansible and CI/CD Why work with me? ✓ I reduce Elasticsearch storage and compute costs (ILM, rollover, retention tuning) ✓ I build systems that are fast, scalable, and efficient ✓ I understand real-world production and SOC environments ✓ Clean, maintainable architecture with proper documentation If you’re looking to cut costs, improve performance, or fix an existing setup, I can help you get it done the right way.

If your looking for the best, hiring a top 1% consultant = saved time and money. I'm your guy I help companies with valuable datasets organize and simplify their data to bring value without the stress of managing the implementation. 10 years of experience to handle the entire process with minimal hand holding to bring you maximal value in a shortest time. Observability and data analysis Cluster architecture, mappings, data strategies, ingest pipelines. I work to optimize all of these so that the data can start providing value ASAP. Search RAG, semantic search, lexical search, hybrid, ANN, KNN, chatbot, vector search, recommendation engines, analyzers, suggestions and search as you type are all important to curating a product your customers can't resist using. Offload the mental stress of sorting out the nitty gritty details of implementation and let me help create your data system for you. Clients often refer to me as their “cheat code” because a brief call with me can replace hours of frustrating trial & error and research. I have a simple goal: 1) To fully understand your needs, 2) Eliminate any stress or confusion, and 3) Deliver precisely what you’re looking for—taking care of all the details for you. I know how frustrating it can be to hire freelancers who complicate things further, communicate poorly, surprise you with unexpected costs, and require so much oversight that it feels easier to handle the work yourself. Types of work I’ve done: Search Engine Development: Built and optimized high-performance search engines with a focus on user experience, achieving sub-500ms response times. A good search engine prioritizes user experience above all. The user needs to 1) get what they want (relevance), and 2) as fast as you can give it to them <500ms (latency), it's that simple. Full ELK Stack Implementations: Designed and deployed ELK stacks for diverse industries, including healthcare and renewable energy, handling everything from parsing error logs to integrating with third-party tools like Jira and Twitter. Custom Dashboard Creation: Developed visually appealing and functional dashboards for data visualization, enhancing team productivity and decision-making. Automation and Optimization: Automated cluster installations and optimized Logstash/filebeat/ingest pipelines configurations for efficient data processing and error handling. I will explain things in layman's terms and not fill an explanation of how something works with technical jargon. I will be clear with my expectations and happy to explain how things work so you can do it yourself. Let's work on your project together so that you can get what you want out of your data. Additional Competencies: API integration with ELK: Facebook, Google Analytics, Twitter, etc... Automation of ELK: Bash and Ansible External Database Syncing with ELK: SQL, MongoDB Misc: Readonly Rest, Own_home, Searchguard, Graphite, alerting, siem, watcher, docker, AWS, OpenSearch Filebeat, metricbeat, packetbeat, Vega, RAG, LLM, AI augmented search, index templates,