Hire the Best logstash Specialists

Software Engineer with 4+ years of engineering experience specializing in enterprise data infrastructure and large-scale web automation systems. 🎯 Core Competencies: • Agentic Workflows & AI Automation: Architecting complex, stateful multi-agent systems using LangGraph, CrewAI, and n8n. Designing self-healing loops, autonomous error recovery, and tool-calling validation pipelines with exceptional reliability. • Multimodal AI Vision & Agentic OCR: Implementing cutting-edge visual parsers (LlamaParse, Docling, GPT-4o Vision, Azure AI Document Intelligence) to extract schema-compliant JSON data from visually dense documents, complex tables, and unseen invoice layouts. • Anti-Detection Engineering & AI-Bypass: Bypassing enterprise security barriers (Cloudflare, Akamai, DataDome), TLS/HTTP2 fingerprint matching, and rotating residential proxy routing. • Production-Grade Data Infrastructure: Engineering highly scalable, distributed scraper fleets capable of handling over 10 million daily requests without performance degradation or IP bans. • Enterprise ETL & Integration: Delivering structured data directly to BigQuery, PostgreSQL, AWS S3, Snowflake, and vector databases with real-time anomaly detection. 🛠️ Technical Stack: • AI & Orchestration: LangGraph, CrewAI, AutoGen, LlamaIndex, LangChain, OpenAI/Claude APIs. • Automation & Scraping: Python (Scrapy, AsyncIO), Playwright, Puppeteer Stealth, Selenium Grid, Bright Data Agent Browser. • Data Engineering: Apache Airflow, dbt, Pandas, custom ETL frameworks. • Platforms & Workflow Tooling: n8n, Make .com, Docker, Kubernetes. • Infrastructure & Message Queues: Redis, RabbitMQ, Rotating Residential Proxies. • Databases & Vector Stores: BigQuery, PostgreSQL, MongoDB, AWS S3, Google Cloud Storage, FAISS, Pinecone. 💼 Ideal For: • Enterprise operations seeking to automate repetitive back-office tasks, financial document parsing, or complex manual reviews using AI Vision. • Market intelligence agencies requiring highly reliable, long-term web data harvesting pipelines under strict SLA guarantees. • Product teams building RAG-based systems requiring continuous, high-quality, pre-parsed markdown data feeds from dynamic web sources . • Organizations deploying multi-agent swarms requiring production monitoring, comprehensive logging, and enterprise security.

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

𝗙𝗥𝗘𝗘 𝗳𝗼𝗿 𝗻𝗲𝘄 𝗰𝗹𝗶𝗲𝗻𝘁𝘀: 30-Min Discovery Call • Live Workflow Review • Bottleneck Audit • ROI Roadmap I'm a DevOps & Cloud engineer who builds systems that hold under real load, deploy without drama, and scale before you need to ask. ⚡ What I build ☁️ Cloud Infrastructure & Architecture - AWS, GCP, multi-region, high availability, cloud migration, infrastructure design, auto scaling, load balancing, disaster recovery, backup strategy, FinOps cost optimization. 🐳 Containers & Kubernetes - Docker, Kubernetes (EKS), Helm, container orchestration, Kubernetes administration, Dockerization, zero-downtime deployments. 🔁 CI/CD & Release Automation - GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, automated testing, release management, Infrastructure as Code (Terraform, Ansible), infrastructure automation. 🏗️ AWS Production Platforms - EC2, ECS, EKS, Lambda, API Gateway, S3, CloudFront, Route53, RDS, ElastiCache, IAM, CloudWatch, Secrets Manager, SQS, SNS. 📊 Observability & Reliability - Prometheus, Grafana, ELK Stack, Loki, CloudWatch, monitoring & observability, logging & alerting, production support, Site Reliability Engineering (SRE). 🔐 Security & Platform Engineering - Vault, Cloudflare, Nginx, Linux administration, Bash scripting, Python automation, security hardening, performance optimization. 🧩 Modern Distributed Systems - Microservices, event-driven architecture, PostgreSQL, Redis, RabbitMQ, Kafka, scalable production platforms built for long-term growth. 💡 𝐖𝐡𝐲 𝐦𝐞 Most engineers hand you files. I hand you systems - ones that run on their own, documented, clean, and ready for whatever comes next. Every engagement starts with one question: 𝘄𝗵𝗲𝗿𝗲 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗯𝗿𝗲𝗮𝗸 𝘂𝗻𝗱𝗲𝗿 𝗽𝗿𝗲𝘀𝘀𝘂𝗿𝗲? Then I fix it before it does. 📌 PageRewriter - AI SaaS, 1,400+ active users, revenue in month 2 📌 Getpin - 100K+ locations managed, Forbes Ukraine Top 25 📌 Import4You - full technical ownership, MVP to production 👉 Send me 𝗔𝗨𝗗𝗜𝗧 - I'll review your current setup and tell you exactly what's at risk and what to fix first. Free. No pitch. Or just 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝗻𝗼𝘄 - and let's build something that doesn't break.

My name is Kemal Pasha, a graduate of Informatics Engineering (Bachelor’s Degree). I am a Fullstack Developer with a strong focus on Backend Development, AI Engineer and DevOps. I have extensive experience building web-based applications both individually and in teams, using Node.js, NestJS, Nuxt.js, along with integrations such as Prisma, SQL, GraphQL, Redis, and state management tools like Pinia. In addition, I am highly skilled in Cloud Computing with AWS and Google Cloud Platform (GCP), including application deployment, system integration, and machine learning modeling with TensorFlow. 💼 Professional Experience Frontend Developer at a Geographic Information System (GIS)-based company with key responsibilities including: Deployment of cloud-based projects Managing and optimizing GeoJSON/Metatiles data Website performance optimization Development of radar systems, pitching designs, and data visualization using map vector/raster/geojson Freelancer working on various technology projects to broaden expertise beyond frontend development, while maintaining up-to-date knowledge of emerging technologies. 📚 Education & Programs Bangkit Academy 2024 Batch 1 – An international program organized by Google, GoTo, and Traveloka under the Merdeka Campus Initiative. Role: Backend Developer & AI integration for mobile applications Project: Fish Species Detection using TensorFlow Lite (Transfer Learning) Undergraduate Thesis: Developed a prototype of an Intelligent Traffic Management System using a Mask R-CNN pretrained model, published as a scientific paper in Sinta 2 Journal. 🤖 Interests & Research Passionate about Artificial Intelligence, especially Deep Learning (CNN) and Image Processing, with projects including: Waste classification Vehicle type recognition Traffic regulation based on vehicle volume Cancer detection (research-based project) Fish recognition using TensorFlow Lite 🚀 Highlighted Projects Weather Super App (on hold) → Real-time weather data integration with map vector/raster/geojson Radar & GIS-based Data Visualization E-Commerce, Banking System, E-School Management Image & Audio Compression System AI-based Image Recognition for Empowerment 🛠️ Core Skills Backend Development → Node.js, NestJS, Prisma, SQL, GraphQL, Redis Frontend Development → Vue, Nuxt, Maplibre/Leaflet, Pinia, Vuex Cloud & DevOps → AWS, GCP, CI/CD, Deployment AI & Machine Learning → TensorFlow, TensorFlow Lite, CNN, Transfer Learning GIS & Data Visualization → Map Vector/Raster, GeoJSON, Metatiles Collaboration & Project Management → Strong teamwork, time management, and experience delivering projects under tight deadlines

🚀YOU WILL GET A SYSTEM AUDIT REPORT FOR FREE🚀 🚨 𝗜𝗳 𝘆𝗼𝘂𝗿 𝘀𝘆𝘀𝘁𝗲𝗺 𝗯𝗿𝗲𝗮𝗸𝘀, 𝗜 𝗳𝗶𝗻𝗱 𝗶𝘁. 𝗜𝗳 𝗮𝗹𝗲𝗿𝘁𝘀 𝗳𝗮𝗶𝗹, 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗲𝗺. 𝗜𝗳 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝘀 𝗺𝗶𝘀𝘀𝗶𝗻𝗴, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗶𝘁 — 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱. Production issues don’t come from one place — they come from gaps across infrastructure, applications, networks, and security. I close those gaps. Client Testimonial: "𝐈 𝐫𝐞𝐚𝐥𝐥𝐲 𝐚𝐩𝐩𝐫𝐞𝐜𝐢𝐚𝐭𝐞 𝐲𝐨𝐮𝐫 𝐡𝐞𝐥𝐩, 𝐀𝐛𝐝𝐮𝐥. 𝐘𝐨𝐮 𝐚𝐫𝐞 𝐚𝐰𝐞𝐬𝐨𝐦𝐞! 𝐀𝐛𝐝𝐮𝐥 𝐰𝐚𝐬 𝐚𝐛𝐥𝐞 𝐭𝐨 𝐤𝐧𝐨𝐜𝐤 𝐨𝐮𝐭 𝐰𝐡𝐚𝐭𝐞𝐯𝐞𝐫 𝐈 𝐰𝐚𝐬 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐢𝐧 𝐆𝐫𝐚𝐟𝐚𝐧𝐚. 𝐈 𝐰𝐨𝐮𝐥𝐝 𝐡𝐢𝐠𝐡𝐥𝐲 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝 𝐡𝐢𝐦 𝐭𝐨 𝐚𝐧𝐲𝐨𝐧𝐞 𝐰𝐡𝐨 𝐢𝐬 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 𝐆𝐫𝐚𝐟𝐚𝐧𝐚." Lets just 𝗱𝗲𝘁𝗲𝗰𝘁 𝗶𝘀𝘀𝘂𝗲𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘂𝘀𝗲𝗿𝘀 𝗳𝗲𝗲𝗹 𝘁𝗵𝗲𝗺, 𝗿𝗲𝗱𝘂𝗰𝗲 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲, 𝗮𝗻𝗱 𝗴𝗮𝗶𝗻 𝗳𝘂𝗹𝗹 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗰𝗿𝗼𝘀𝘀 𝘆𝗼𝘂𝗿 𝘀𝘁𝗮𝗰𝗸 — not just dashboards, but real reliability. 💡 What I Fix • Systems going down without clear reasons • Slow or failing applications with no root cause visibility • Missing or noisy alerts (alert fatigue) • Blind spots in network traffic and service communication • Security logs with no actionable monitoring • Disconnected tools with no centralized observability • Slow incident response and firefighting mode 🚀 What You Get • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (AWS environments, Linux systems, Kubernetes stability) • 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 (Performance monitoring, logs, tracing, failure detection) • 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 (Latency tracking, traffic insights, service health) • 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗔𝗹𝗲𝗿𝘁𝗶𝗻𝗴 (Log-based detection, anomaly signals, audit visibility) • 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 (Grafana, Prometheus, Loki, ELK, OpenSearch, CloudWatch) • 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝗹𝗲𝗿𝘁𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗔𝗜𝗢𝗽𝘀) (Anomaly detection, noise reduction, smart escalation) 🧠 Core Stack AWS (EC2, CloudWatch), Linux Prometheus, Grafana, Loki, ELK, OpenSearch Kubernetes, Docker Terraform, Ansible, Bash, Python Jenkins, GitHub Actions, ArgoCD 📈 Results You Can Expect ✔ Faster root cause detection ✔ Fewer incidents and reduced downtime ✔ Clean, actionable alerts (no noise) ✔ Full visibility across infra, apps, network, and security 🎯 CTA If your system is unstable, unclear, or constantly firefighting — I’ll fix it. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐨𝐫 𝐬𝐞𝐧𝐝 𝐚𝐧 𝐢𝐧𝐯𝐢𝐭𝐞. 𝐈’𝐥𝐥 𝐫𝐞𝐯𝐢𝐞𝐰 𝐲𝐨𝐮𝐫 𝐬𝐞𝐭𝐮𝐩 𝐚𝐧𝐝 𝐭𝐞𝐥𝐥 𝐲𝐨𝐮 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐰𝐡𝐚𝐭’𝐬 𝐛𝐫𝐨𝐤𝐞𝐧 — 𝐛𝐞𝐟𝐨𝐫𝐞 𝐰𝐞 𝐞𝐯𝐞𝐧 𝐬𝐭𝐚𝐫𝐭.

𝗚𝘂𝗿𝘄𝗶𝗻𝗱𝗲𝗿 | 𝗗𝗲𝘃𝗢𝗽𝘀 | 𝗠𝗟𝗢𝗽𝘀 | 𝗔𝗜𝗢𝗽𝘀 | 𝗦𝘆𝘀𝘁𝗲𝗺 𝗔𝗱𝗺𝗶𝗻 | 𝗖𝗹𝗼𝘂𝗱 & 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁 Hello! I am 𝗚𝘂𝗿𝘄𝗶𝗻𝗱𝗲𝗿, a DevOps, MLOps, AIOps, and System Administration Engineer with 8+ years of experience building secure, scalable, and production-ready infrastructure for SaaS platforms, AI applications, cloud-native systems, and LLM-based products. From traditional server administration to modern AI infrastructure, I help businesses automate deployments, migrate applications from Replit to enterprise cloud platforms, scale applications, optimize cloud environments, and build reliable DevOps pipelines across AWS, Azure, and GCP. Whether you are launching a startup, deploying AI agents, managing Kubernetes clusters, building RAG-based applications, or simply need stable cloud infrastructure, I can help you deploy faster, automate smarter, and scale confidently. DevOps, Cloud & Infrastructure - AWS, Azure, GCP, DigitalOcean, Linode - Docker, Kubernetes (EKS, ECS, AKS, GKE) - Infrastructure as Code: Terraform, Ansible, CloudFormation - Serverless: AWS Lambda, Azure Functions, Google Cloud Functions - High-availability & autoscaling architectures - GPU infrastructure for AI/ML workloads - Linux & Windows server administration Replit, Cloud Migration & Platorm Modernization - Replit application deployment & infrastructure management - Migration from Replit to AWS, Azure, GCP, DigitalOcean & Kubernetes - Containerization using Docker for Replit-hosted applications - CI/CD implementation for Replit projects - Database migration & environment separation (Dev/Staging/Production) System Administration & Server Management - Ubuntu, CentOS, AlmaLinux, Debian, Windows Server - cPanel/WHM, Plesk, Webmin - Apache, Nginx, LiteSpeed, HAProxy - Email servers: Postfix, Exim, Dovecot - SPF, DKIM, DMARC configuration - SSL setup, backups, migrations & troubleshooting - Rsync, Rclone, cron jobs & automation CI/CD & Automation - Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket Pipelines - Automated build, deployment & rollback pipelines - GitOps workflows using ArgoCD & Flux - Airflow, n8n, Zapier & workflow automation - Infrastructure automation using Python, Bash & YAML MLOps / LLMOps / AI Infrastructure - MLflow, Kubeflow, Vertex AI - AI model deployment with TensorFlow, PyTorch & SageMaker - LLMOps pipelines for production AI applications - OpenAI, Azure OpenAI & HuggingFace integrations - Vector databases: Pinecone, Weaviate, FAISS, Chroma - RAG pipelines & embedding systems - KServe, FastAPI & Docker-based model serving - AI agent orchestration using OpenClaw - Clawbot & Moltbot deployment workflows - Monitoring, retraining & model lifecycle management Monitoring, Security & AIOps - Prometheus, Grafana, ELK Stack, CloudWatch, Datadog - OpenTelemetry & Jaeger tracing - AI-driven monitoring & anomaly detection - Automated incident remediation - HashiCorp Vault, AWS KMS, Snyk, SonarQube - OWASP security best practices Databases & Storage - PostgreSQL, MySQL, MariaDB, AuroraDB - MongoDB, DynamoDB - Redis, Memcached - Vector databases for AI workloads I believe modern infrastructure is no longer just about servers, it is about intelligent automation, scalable AI systems, reliable deployments, and building environments that can grow with your business. If you are building AI platforms, SaaS systems, cloud infrastructure, ML pipelines, AI agents, or large-scale applications, I would be happy to help. Feel free to invite me to your project or schedule a quick call to discuss how I can help. Best regards, Gurwinder