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Profile Overview - Experience: 5 years of professional experience in software development. - Backend Development: Java, Spring Boot, Spring Cloud Microservices, Golang. - Frontend Development: React. - Event Streaming & Data Integration: Kafka, Apache NiFi. - Databases & Caching: Oracle, PostgreSQL, Redis. - DevOps & CI/CD: Jenkins, Maven, Ansible. - Containerization & Orchestration: Docker, Kubernetes. - Operating Systems: Linux (server deployment and operations). - Observability & Monitoring: Elasticsearch, Kibana, Grafana, Prometheus. - Artifact & Repository Management: Nexus. - Deployment Experience: Building and operating on-premise service deployments. - Core Strengths: - Microservices architecture design and development - Distributed systems and event-driven architecture - CI/CD automation and DevOps practices - System monitoring, logging, and operational reliability

I help companies turn complex technical problems into reliable, production-ready systems — whether that's a backend built from scratch, an AI agent that automates a manual workflow, or infrastructure that scales without breaking. My background spans backend engineering, data pipelines, cloud architecture, and enterprise warehouse systems, so I can usually see the full picture of what a project needs — not just the code. 💻 Software Development - Production APIs and services in Java, Python, and Go using Spring Boot, Django, Flask, and FastAPI. Multiple projects go live with my help in architecture backend - Enterprise-grade platform development: at Fortna, I built and customized Warehouse Execution Systems (WES) and Warehouse Control Systems (WCS), handling order orchestration, inventory management, and real-time integration with conveyors, sortation, and robotics in automated fulfillment centers - WES/WCS technical support — troubleshooting production issues, tuning order flow logic, resolving integration faults between software and material-handling equipment, and providing ongoing operational support for live warehouse systems - Expert in web scraping, give me any site and the result you want - then you have it 🤖 AI Agents & Automation - Designing agent workflows that handle real business tasks: data extraction, document processing, customer support, internal tooling, reporting - Building with Claude, Cursor, Codex, and LangChain-style orchestration to ship faster and cut manual work - Wiring AI agents into your existing stack — databases, APIs, dashboards — so automation fits your workflow instead of sitting on top of it 🗄 Databases & Data Engineering - Schema design and optimization across MySQL, MongoDB, Neo4j, and Redis - ETL pipelines and data warehouses, on-prem or cloud - Web scraping and data processing with Selenium, BeautifulSoup, Scrapy, Playwright, orchestrated via Airflow or Dagster ☁️ Cloud & DevOps - AWS and GCP deployment and management - Infrastructure as code with Terraform - Kubernetes for scalability - Cloudflare ecosystem

✅ 𝙏𝙊𝙋 𝙍𝙖𝙩𝙚𝙙 𝘿𝙚𝙫𝙊𝙥𝙨 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 | ✅ 𝟱-𝙎𝙩𝙖𝙧 𝙍𝙚𝙫𝙞𝙚𝙬𝙨 | ✅ 𝟳+ 𝙔𝙚𝙖𝙧𝙨 𝙤𝙛 𝙀𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 I’m a passionate AWS DevOps & AI-Powered Data Engineer with hands-on experience architecting, automating, and optimizing mission-critical cloud solutions. I specialize in serverless AI integration using AWS Bedrock and designing intelligent workflows that scale. 𝙄 𝙝𝙖𝙫𝙚 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 𝙞𝙣 𝙩𝙝𝙚 𝙛𝙤𝙡𝙡𝙤𝙬𝙞𝙣𝙜 𝙖𝙧𝙚𝙖𝙨, 𝙩𝙤𝙤𝙡𝙨 𝙖𝙣𝙙 𝙩𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙞𝙚𝙨: 🧠 𝘼𝙄 & 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙬𝙞𝙩𝙝 𝘼𝙒𝙎 𝘽𝙚𝙙𝙧𝙤𝙘𝙠 ► Integrated LLMs (Claude, Mistral, Titan) into serverless applications using AWS Bedrock + Lambda + Step Functions ► Designed prompt orchestration pipelines for data enrichment, customer support, and automated insights ► Built secure, scalable AI workflows for multi-tenant environments ☁️ 𝘾𝙇𝙊𝙐𝘿 𝙄𝙉𝙁𝙍𝘼𝙎𝙏𝙍𝙐𝘾𝙏𝙐𝙍𝙀 ► AWS: EC2, S3, RDS, ECS, EKS, ECR, Lambda, IAM, VPC, Route53, CloudTrail, KMS, CloudWatch, Redshift, DynamoDB, Glue, Athena, Step Functions, Bedrock ► Azure: Data Factory, Blob Storage, Cosmos DB, Azure DevOps 🗄️ 𝘿𝘼𝙏𝘼𝘽𝘼𝙎𝙀𝙎 ► SQL | NoSQL | MySQL | PostgreSQL | SQL Server | MongoDB | Redis | DynamoDB | ElasticCache 🚀 𝘾𝙄/𝘾𝘿 & 𝘼𝙐𝙏𝙊𝙈𝘼𝙏𝙄𝙊𝙉 ► Jenkins | AWS CodePipeline, CodeBuild, CodeDeploy | GitHub Actions | Terraform | CloudFormation 🔐 𝙄𝘿𝙀𝙉𝙏𝙄𝙏𝙔 & 𝙎𝙀𝘾𝙐𝙍𝙄𝙏𝙔 ► AWS IAM Identity Center (SSO) | AWS Cognito | Okta | AWS WAF | Network Firewall 🧩 𝘽𝙄𝙂 𝘿𝘼𝙏𝘼 & 𝘿𝘼𝙏𝘼 𝙀𝙉𝙂𝙄𝙉𝙀𝙀𝙍𝙄𝙉𝙂 ► Apache Spark | Hadoop | EMR | Kinesis | Data Lakes | Glue ETL | Airflow | Athena 📊 𝘽𝙄 & 𝙈𝙊𝙉𝙄𝙏𝙊𝙍𝙄𝙉𝙂 ► Power BI | Tableau | Superset | Grafana | SSMS 🛠️ 𝙏𝙊𝙊𝙇𝙎 & 𝙇𝘼𝙉𝙂𝙐𝘼𝙂𝙀𝙎 ► Python | Docker | Kubernetes | Bash | Ansible | REST APIs | JSON | YAML 🧪 𝙎𝙤𝙢𝙚 𝙤𝙛 𝙢𝙮 𝙢𝙖𝙟𝙤𝙧 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙞𝙣𝙘𝙡𝙪𝙙𝙚𝙙 ► Built AI-powered data enrichment workflows using AWS Bedrock + Lambda. ► Designed, implemented the entire software deployment system, system security and data assurance of company on both Cloud and Premise. ► Architected fully automated CI/CD pipelines for containerize applications. ► Administered infrastructure and back-end developer for a VPN system with 300+ servers. ► Designed, implemented and operated a Data Platform to centralize all company data ► Designed scalable Data Lake solutions with EMR + Glue + Athena ► Implemented centralized identity access via AWS SSO (IAM Identity Center) ► Automated AWS Route53, DNS, and Glue deployment for 50+ microservices 💬 𝙄 𝙗𝙧𝙞𝙣𝙜 𝙣𝙤𝙩 𝙟𝙪𝙨𝙩 𝙩𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙨𝙠𝙞𝙡𝙡𝙨 𝙗𝙪𝙩 𝙖 𝙘𝙤𝙢𝙢𝙞𝙩𝙢𝙚𝙣𝙩 𝙩𝙤 𝙥𝙧𝙚𝙘𝙞𝙨𝙞𝙤𝙣, 𝙧𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙫𝙚𝙣𝙚𝙨𝙨, 𝙖𝙣𝙙 𝙘𝙡𝙖𝙧𝙞𝙩𝙮. Whether you're looking to launch a new AI feature, optimize your DevOps pipelines, or need a reliable Linux system engineer to manage your infrastructure—I’m ready to help. 𝙇𝙚𝙩’𝙨 𝙢𝙖𝙠𝙚 𝙮𝙤𝙪𝙧 𝙞𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙨𝙢𝙖𝙧𝙩𝙚𝙧, 𝙛𝙖𝙨𝙩𝙚𝙧, 𝙖𝙣𝙙 𝙛𝙪𝙩𝙪𝙧𝙚-𝙧𝙚𝙖𝙙𝙮. Available for long-term or short-term contracts!

✅ Senior DevOps Engineer With 10+ years of extensive experience in designing and implementing large-scale production systems. Always interested in solving complex issues and design solutions using the latest DevOps tools sets ✅ Technical Skills: - Public Cloud: AWS, GCP - CICD: Jenkins, Gitlab-CI, Ansible, Github Actions, Bitbucket Pipelines - IAC: Terraform - Source Control: GitLab, GitHub, Bitbucket - Monitoring Tools: Zabbix, Prometheus + Grafana, Uptime-Robot - APM Tools: Newrelic, Sentry - Logging system: Splunk, ELK - Kubernetes: EKS, GKE, RKE - Programing: Shell, Python, Power Shell - Databases: MySQL, PostgreSQL - Network: CCNA ✅Professional Certifications: - AWS Solution Architect Associate (SSA-C03) - Certified Kubernetes Administrator (CKA) - Cisco Certified Network Associate (CCNA

Need a Python data engineer who can turn operational databases into a lakehouse and in-product analytics — not another notebook? I build Iceberg lakes, Glue/Spark pipelines, Cube.js semantic layers, Postgres CDC, and the NestJS/Vue reporting layer for SaaS teams that need production data, not a prototype. With 5+ years of data and backend engineering, I can own the path from source systems through the lake, the semantic layer, and the report your users actually click. 🚀 What I can build for you: • Iceberg data lakes on AWS Glue / Spark • Tenant-scoped ETL (one org cannot stall or leak into another) • Schema evolution, compaction, and data-quality checks • Postgres CDC into Iceberg / Parquet / Athena • Cube.js semantic layers with row-level security • In-product BI: query proxy, Excel export, Vue report UI • Terraform for Glue jobs and lake infra • Athena-ready tables for analytics 🐍 Python is at the core of my data work: • Python + Spark on AWS Glue • Iceberg writers (append, overwrite, upsert) • PostgreSQL, Parquet, and Athena • Batch jobs and scheduled pipelines • NestJS / TypeScript APIs when the product sits on the lake ⚡ I can also handle the product around the data: • Vue 3 report builders • NestJS query proxies and export jobs • AWS (Glue, S3, Athena, Lambda) • Docker and GitLab CI • Multi-tenant SaaS (org + centre scope) My goal is simple: understand the source system and the question you cannot answer today, pick the right grain and security model, and ship something that runs in production. Whether you need a Glue/Iceberg lake, CDC that does not lie about LSN, a Cube.js layer with RLS, or self-serve reports with Excel export, I can take ownership from pipeline through the UI. ✅ 5+ years data / backend engineering ✅ Long-term projects welcome ✅ Open to negotiating the hourly rate ✅ Available for a trial task if required

A Backend Software Engineering with more than 6 years of experience. Have worked with large-scale backend/distributed systems and big data systems. A DevOps engineer with 4 years of experience - both on-premises and AWS, experienced with K8s, Terraform, Ansible, CI/CD. Currently working as Principal Engineer/ Solution Architect role.