Hire the Best NoSQL Developers

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Shajeel A.

Lahore, Pakistan

$25/hr
4.5
148 jobs

✅ 10+ years of experience ✅ 100+ projects completed ✅ Google Certified Developer ✅ 1M+ generated through Micro SaaS Apps Ready to revolutionize your project with cutting-edge AI and full-stack development? You've just stumbled upon your secret weapon. 🚀 Hey there! I'm your go-to Full Stack AI Developer with over a decade of experience crafting digital marvels. Imagine having a tech wizard who can conjure up mobile apps, websites, and backend systems while harnessing the power of artificial intelligence. Well, you've found one! AI Whisperer & Code Maestro I don't just write code; I breathe life into ideas. With expertise in Generative AI, I'm not just riding the wave of the future – I'm surfing it with style. From ChatGPT to Claude AI, from OpenAI to VertexAI, I've got the AI bases covered. But here's the kicker: I blend this AI sorcery with rock-solid full-stack development. It's like having your cake and eating it too, only the cake is made of ones and zeros! Why I'm Your Golden Ticket 1. Full-Stack Mastery: Mobile apps? Check. Websites? You bet. Backend using NodeJS? It's my playground. 2. AI Integration: I don't just use AI; I make it dance to your project's tune. 3. Experience That Counts: 10+ years of turning coffee into code and dreams into digital reality. 4. Problem Solver Extraordinaire: I eat complex challenges for breakfast and ask for seconds. Tech Arsenal at Your Service - Mobile App Development: Flutter for cross-platform magic - Web Development: Responsive designs that look great on everything from smartphones to smart fridges - Backend Sorcery: NodeJS for lightning-fast, scalable server-side solutions - AI Integration: From ChatGPT to custom AI models, I make machines think - Cloud Mastery: Firebase for real-time awesomeness - Payment Integration: Stripe and RevenueCat for smooth transactions - App Store Wizardry: Google Play and App Store submission secrets But wait, there's more! (I've always wanted to say that) 😄 The Secret Sauce to Project Success 1. Discovery Phase: We'll dive deep into your vision, unearthing hidden gems and polishing rough ideas. 2. Strategic Planning: I'll craft a roadmap that'd make GPS developers jealous. 3. Agile Development: Sprints, scrums, and daily updates – we'll move fast and break... nothing! 4. Testing & QA: I'll put your project through the wringer so users don't have to. 5. Launch & Beyond: From app store optimization to post-launch support, I've got your back. Why Clients Love Working With Me - Communication: Clear, concise, and always on time. No tech jargon unless you're into that sort of thing. - Flexibility: Need changes? Consider it done. I'm more flexible than a yoga instructor's schedule. - Results-Driven: Your success is my success. I'm not happy until you're doing a happy dance. - Continuous Learning: The tech world moves fast, and I move faster. Always up-to-date with the latest trends. Curious about how AI can supercharge your project? Let's chat! I've got case studies that'll make your jaw drop and ideas that'll make your competitors wish they'd hired me first. From SaaS platforms that predict user behavior to mobile apps that learn and adapt, the possibilities are endless. Ready to take your project from "meh" to "mind-blowing"? Hit that "Hire" button, and let's make some digital magic together. Trust me, your future self will thank you for it. Remember, in the world of tech, you're either disrupting or being disrupted. Which side do you want to be on? P.S. Still reading? Awesome! Here's a little secret: I once used AI to help a client develop AI Powered SaaS platform which got Featured on many places because of it's UX and generating 20,000 USD / month in Revenue! Imagine what we could do for your project! Let's connect and explore the possibilities – your next big breakthrough is just a conversation away.

  • NoSQL Database
  • Firebase
  • Node.js
  • iOS Development
  • Android App Development
  • HTML5
  • Dart
  • Flutter
  • Chatbot Development
  • Gupshup
  • Chatbot
  • Marketing Automation
  • Dialogflow API
Atul K.

Noida, India

$30/hr
4.9
168 jobs

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. ✅ $300K+ Total earnings ✅8+ Years experience as Fullstack Developer ✅ 80+ Projects Completed. ✅Top Rated Plus. ✅ 100% Job Success Rate. ✅ AWS certified ✅ Python certified ✅50hrs/week available ✅ 4+ AI/ML Integrations 🔴 I am in the 𝗧𝗼𝗽 𝟭% overall on Upwork. 🔴 I am in the 𝗧𝗼𝗽 𝟰% overall on Stack Overflow. 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 / 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: 𝐂𝐫𝐞𝐰𝐀𝐈 / 𝐀𝐮𝐭𝐨𝐆𝐞𝐧 / 𝐀𝐦𝐚𝐳𝐨𝐧 𝐏𝐨𝐥𝐥𝐲 / 𝐃𝐞𝐞𝐩𝐠𝐫𝐚𝐦 / 𝐑𝐚𝐬𝐚 𝐀𝐈 / 𝐑𝐢𝐯𝐞𝐫𝐬𝐢𝐝𝐞 𝐒𝐃𝐊 / 𝐀𝐳𝐮𝐫𝐞 𝐀𝐈 𝐒𝐩𝐞𝐞𝐜𝐡/𝐋𝐋𝐌 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠: 𝐔𝐬𝐢𝐧𝐠 𝐏𝐄𝐅𝐓 / 𝐋𝐨𝐑𝐀 / 𝐐𝐋𝐨𝐑𝐀 / 𝐑𝐋𝐇𝐅 / 𝐃𝐏𝐎 / 𝐒𝐅𝐓 𝐰𝐢𝐭𝐡 𝐔𝐧𝐬𝐥𝐨𝐭𝐡 / 𝐀𝐱𝐨𝐥𝐨𝐭𝐥 / 𝐇𝐮𝐠𝐠𝐢𝐧𝐠𝐅𝐚𝐜𝐞 𝐀𝐮𝐭𝐨𝐓𝐫𝐚𝐢𝐧 / 𝐒𝐚𝐠𝐞𝐌𝐚𝐤𝐞𝐫 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠/𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: 𝐋𝐋𝐀𝐌𝐀 𝟑 / 𝐌𝐢𝐬𝐭𝐫𝐚𝐥 𝟕𝐁 / 𝐌𝐢𝐱𝐭𝐫𝐚𝐥 𝟖𝐱𝟕𝐁 / 𝐅𝐚𝐥𝐜𝐨𝐧 / 𝐆𝐞𝐦𝐦𝐚 / 𝐁𝐥𝐨𝐨𝐦 / 𝐎𝐫𝐜𝐚 𝐌𝐢𝐧𝐢 / 𝐆𝐮𝐚𝐧𝐚𝐜𝐨/𝐅𝐚𝐬𝐭 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞: 𝐯𝐋𝐋𝐌 / 𝐓𝐆𝐈 / 𝐓𝐞𝐧𝐬𝐨𝐫𝐑𝐓-𝐋𝐋𝐌 / 𝐒𝐊𝐏𝐢𝐥𝐨𝐭/𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐌𝐮𝐥𝐭𝐢-𝐭𝐮𝐫𝐧 / 𝐅𝐞𝐰-𝐬𝐡𝐨𝐭 / 𝐙𝐞𝐫𝐨-𝐬𝐡𝐨𝐭 / 𝐑𝐀𝐆-𝐁𝐚𝐬𝐞𝐝 / 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐚𝐛𝐥𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬/𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐀𝐖𝐐 / 𝐆𝐏𝐓𝐐 / 𝐆𝐆𝐔𝐅 / 𝐆𝐆𝐌𝐋 / 𝐐𝐋𝐎𝐑𝐀 / 𝐏𝐓𝐐 / 𝐃𝐐/𝐑𝐀𝐆 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 / 𝐋𝐥𝐚𝐦𝐚𝐈𝐧𝐝𝐞𝐱 / 𝐂𝐡𝐫𝐨𝐦𝐚 / 𝐅𝐀𝐈𝐒𝐒 / 𝐏𝐢𝐧𝐞𝐜𝐨𝐧𝐞 / 𝐐𝐝𝐫𝐚𝐧𝐭 / 𝐖𝐞𝐚𝐯𝐢𝐚𝐭𝐞 / 𝐌𝐢𝐥𝐯𝐮𝐬 Greetings! I am Atul Kumar, a seasoned developer with over 8+ years of experience in web application and software development. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama 🔹 AI Agents / Voice Agents: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, HuggingFace AutoTrain 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts 🔹 Quantization: AWQ, GPTQ, GGUF, GGML 🔹 RAG Systems: LangChain, LlamaIndex, ChromaDB, FAISS, Pinecone, Qdrant 🔹 Data Pipeline: Synthetic dataset generation, LLM evaluation frameworks 🔹 LLM Deployment: AWS Sagemaker, RunPod, GCP AI Platform, Vercel AI SDK 🖥️ 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in Node.js, Express.js, Python, Django, Flask, AWS Lambda for backend API. 🔹 Experienced with relational & NoSQL databases: MySQL, PostgreSQL, MongoDB, Firebase, Firestore. 🔹 Skilled in Python FastAPI, REST API, GraphQL API development, and database schema design. 🔹 Knowledgeable in Redis, Docker, Kubernetes, AWS EC2, S3, Nginx for scalable infrastructure. 🔹 Experienced with Nest.js for enterprise-grade server-side applications. 🔹 LangChain, LangServe, LangSmith, HuggingFace, Transformers for AI/LLM integrations. 🔹 Vector Databases: Chroma, FAISS, Pinecone, Qdrant for RAG pipelines. 🔹 Low-code AI tools: Flowise AI, LangFlow, StackAI for rapid prototyping. 🔹 Familiar with Celery task queues, testing frameworks (Pytest, Unittest), and automation tools like Selenium. 🌐 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 Proficient in TypeScript, Redux Toolkit, Tailwind CSS with Next.js for high-performance frontends. 🔹 Skilled in building Progressive Web Apps (PWA) and Single Page Applications (SPA). 🔹 Expert in Vue.js, Nuxt.js, React.js, Next.js, HTML5, CSS3, React Native for responsive and cross-platform UIs. 🛠️ 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: 🔹 Skilled in Python ML libraries: Scikit-learn, Numpy, Pandas, Matplotlib, Seaborn. 🔹 Familiar with OpenAI APIs, Whisper, GPT models, ChatGPT integration, and AI chatbot deployment. 🔹 Experienced with AWS (Lambda, S3, EC2, Sagemaker), Git/GitHub, and Linux environments (Ubuntu, CentOS). 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 & 𝗟𝗟𝗠 𝗦𝗸𝗶𝗹𝗹𝘀: 🔹 AI Agents / Voice Assistants: CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI. 🔹 Open-Source LLMs: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma. 🔹 Inference Optimization: vLLM, TGI, TensorRT-LLM for high-speed deployments. 🔹 Prompt Engineering: Multi-turn, Few-shot, Zero-shot, RAG-based prompts. 🔹 Quantization: AWQ, GPTQ, GGUF, GGML for efficient LLM deployment. 🔹 LLM Fine-tuning: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, H My expertise spans both frontend and backend technologies, as well as a variety of tools and additional skills that enable me to deliver comprehensive solutions. I am dedicated to providing high-quality, efficient solutions that cater to the unique needs of each project. My diverse skill set allows me to approach challenges from multiple angles, ensuring robust and innovative solutions. Warm regards, Atul Kumar

  • AI Bot
  • AI Chatbot
  • AI Development
  • AI Text-to-Speech
  • AI Text-to-Image
  • AI Speech-to-Text
  • AI App Development
  • AI Agent Development
  • AI Mobile App Development
  • AI Image Generation
  • AI Implementation
  • AI Platform
  • AI Model Integration
  • AI Security
  • AI Trading
Noah L.

Abuja, Nigeria

$15/hr
5.0
7 jobs

When your backend goes down, users leave and revenue stops. I make sure that doesn't happen. I'm a Node.js backend developer with four years building and stabilizing production APIs and microservices across Healthcare, FinTech, EdTech, and Real-Time platforms — industries where uptime and data integrity aren't optional. Results I've delivered: — Migrated a live MongoDB database to PostgreSQL with zero downtime and zero data loss, across a 50+ user production system — then rebuilt the backend logic to handle PostgreSQL natively where it had only ever run on MongoDB — Migrated a MySQL database on a live PWA to Supabase PostgreSQL with Row Level Security and proper schema versioning — eliminating data corruption bugs that were wiping user progress, streaks, and financial records on every deploy — Expanded and restructured a PostgreSQL microservices database to support unified authentication across multiple services — users can now sign up, log in, and manage their profile from one platform with one login What I build for clients: API development — High-performance RESTful and GraphQL APIs using Node.js, Express.js, and NestJS, designed to handle load and stay maintainable as your product grows. This is the kind of API work a reliable Node.js backend developer should own end to end. Microservices architecture — Modular, independently deployable services built for scale, with clean inter-service communication and separation of concerns baked in from the start. Database architecture — MongoDB and PostgreSQL schemas structured for speed and long-term integrity, including advanced indexing and query optimization (one recent project cut DB load by 40%+). Real-time systems — WebSockets, live messaging, and presence features built cleanly into your existing stack. Auth & security — JWT, RBAC, OTP flows, and session management done properly from day one. Infrastructure & deployment — Docker, CI/CD pipelines, and automated monitoring so you're never caught off guard. Third-party integrations — Payment gateways, Twilio, and external APIs connected without future maintenance debt. 🧩 Real-World Solutions I've Built as a Node.js Backend Developer: 🏥 Healthcare Data Pipeline Built a Node.js backend processing 1,000+ patient records daily across a distributed system — with zero data loss, role-based access control, and HIPAA-aligned data handling built in from day one. 🏫 Multi-School Platform Backend Architected a modular Node.js microservices backend for EduConnect, serving 10+ schools with complex role hierarchies, tenant isolation, and data scaling — all without touching live service uptime. 🆘 Real-Time Crisis Support API Built the backend for Safe Anchor — a real-time victim support platform using Node.js, WebSockets, and optimized REST APIs, with encrypted communications and secure data handling under strict compliance requirements. ⚡ API Performance Overhaul Diagnosed and resolved bottlenecks across a production API layer — cutting response times by 45% through query restructuring, caching strategy, and connection pool tuning on PostgreSQL. 🗄️ Database Migration & Stability Migrated a live MySQL database on an active PWA to Supabase PostgreSQL — eliminating data corruption bugs wiping user progress and financial records on every deploy, with Row Level Security and schema versioning built in. ☁️ Zero-Downtime MongoDB to PostgreSQL Migration Migrated a live MongoDB database to PostgreSQL across a 50+ user production system with zero downtime and zero data loss — then rebuilt the backend logic to handle PostgreSQL natively from the ground up. If you need a backend that handles load, protects your data, and gives your product a solid foundation that lasts — let's talk to a Node.js backend developer who has done it in production.

  • Node.js
  • RESTful API
  • JavaScript
  • MongoDB
  • PostgreSQL
  • Amazon Web Services
  • TypeScript
  • ExpressJS
  • NestJS
  • API Development
  • Back-End Development
  • API Integration
  • Database Architecture
  • Database Design
  • Websockets
Rongping S.

Chengdu, China

$60/hr
5.0
166 jobs

Slow databases? Production outages? Performance bottlenecks affecting your business? I help organizations identify root causes, optimize database performance, and build reliable database platforms. I am a senior database administrator (DBA) with over 13 years of hands-on experience managing production database systems. I specialize in MySQL, MariaDB, PostgreSQL, MongoDB, Oracle , and SQL Server, providing database troubleshooting, incident response, daily operations and maintenance, performance optimization, and reliable backup, high availability, and disaster recovery solutions for mission-critical environments. 🔍 Database Expertise: With over 13 years as a senior expert in MySQL/MariaDB/Percona/PostgreSQL/MongoDB/Oracle/SQL Server/DuckDB, I’ve managed over 5000 databases and 300 TB+ of data. My experience covers database architecture, performance optimization, backup and recovery, High availability, disaster recovery, and much more. I ensure every database solution I deliver is robust, scalable, high performance, and perfectly aligned with your business needs. 🛠️ Technology Stack: MySQL/Percona (Versions 5-9) MariaDB (Versions 5-12): Installation、High Availability, Replication, and Scalability Solutions、InnoDB Cluster、Group Replication、Workbench/Shell/Router、Backup & Restore、Galera Cluster、Percona XtraDB Cluster、XtraBackup、Toolkit、InnoDB/MyISAM/Binlog、Orchestrator、replication-manager. PostgreSQL (Versions 7-18): Installation、High Availability, Replication, and Scalability Solutions、SQL Tuning、pgpool-II、PostGIS、TimescaleDB、ClickHouse、Patroni、Citus、pgvector、Security、Supabase、Neon. MongoDB (Versions 3-8) / MongoDB Atlas : Installation、MongoDB Shell (mongosh)、Aggregation、Indexes、Atlas、Time Series、Change Streams、Replication、Sharding、Storage、Administration、Security. SQL Server (Versions 6.5 – 2025): Installation、High Availability and Disaster Recovery (Always On AG, FCI, Log Shipping, Replication)、Distributed Availability Groups、SQL Server Management Studio / Azure Data Studio / sqlcmd、Backup & Restore、Failover Cluster / Always On Solutions、PowerShell dbatools / First Responder Kit、Storage Engine / Transaction Log / Change Data Capture. Other Database : Oracle、DB2、Redis、SQLite、DuckDB、DocumentDB Cloud service providers: AWS RDS、AWS Aurora、Amazon DocumentDB、GCP、Azure、N8N creator. Certifications: I hold certifications from Cisco, Oracle, MySQL, AWS, ITIL, PMP, and TOGAF, ensuring I bring industry-recognized expertise to every project. 📈 Why Choose Me? Proven Experience: Worked for leading ICT and IoT solution providers, supporting major operators, banking, and financial enterprises. End-to-End Solutions: From designing high availability architectures to delivering query optimizations and backup solutions, I offer complete database management expertise. Training & Support: I also provide course training for companies looking to empower their teams with database-related skills. 🤝 Let’s Collaborate: If you’re looking for a seasoned database professional to tackle challenges in MySQL, PostgreSQL, MongoDB, Oracle, or other database technologies, let’s discuss how I can help streamline your operations and enhance performance. 📩 Contact Me: I’m ready to dive into your project. Reach out, and let’s unlock the full potential of your data infrastructure together!

  • PostgreSQL
  • MySQL
  • MariaDB
  • MongoDB
  • Microsoft SQL Server
  • Oracle
  • SQL
  • Database Optimization
  • MySQL Programming
  • Database Administration
  • Database Design
  • Query Tuning
  • Database Maintenance
  • Amazon RDS
  • PostgreSQL Programming
Mohsin A.

Sharjah, United Arab Emirates

$35/hr
4.7
51 jobs

🏆 Top-Rated Database Architect & Multi-Cloud Specialist with 16+ Years of Experience Delivered 50+ enterprise-scale database and cloud transformation projects across telecom, government, banking, retail, and transport industries, specializing in migrations, HA/DR architectures, and performance tuning for Oracle, PostgreSQL, MySQL, SQL Server, MongoDB, Redis and Apache Cassandra. I am a seasoned Database Architect and Cloud Specialist with over 16 years of experience, delivering high-impact solutions across telecom, government, banking, transport, and retail industries. My expertise spans multi-database ecosystems (Oracle, PostgreSQL, MySQL, SQL Server, MongoDB, Redis) with a strong focus on performance tuning, HA/DR architectures, and enterprise-scale migrations. Beyond databases, I bring deep experience in multi-cloud environments (OCI, AWS, Azure, GCP) and DevOps practices, leveraging Kubernetes, Docker, Ansible, Jenkins, and CI/CD pipelines to design and automate resilient, scalable infrastructures. Over the years, I have led critical modernization projects including Oracle RAC/Data Guard, PostgreSQL Patroni clusters, MySQL InnoDB clusters, SQL Server Always-On, and GoldenGate microservices replication, all aligned with compliance, cost optimization, and business continuity. I specialize in cloud-native architectures, database modernization, and containerized deployments, ensuring secure, high-performing, and future-ready platforms for enterprises across multiple sectors. 🔹 Database Expertise High Availability & DR: Oracle RAC/Data Guard/GoldenGate, PostgreSQL Patroni/repmgr/EFM, MySQL Group Replication/ClusterSet, SQL Server Always-On, MongoDB ReplicaSets & Sharding, Redis Sentinel & Cluster. Performance Tuning: Advanced SQL optimization, query indexing, connection pooling, and OS-level tuning (CPU, memory, I/O, networking). Clickhouse DB optimization and performance tuning. Migrations: End-to-end cross-platform migrations (SQL Server → Postgres/Oracle, MySQL → Snowflake/OCI/Azure, on-prem → multi-cloud). I have hands-on experience designing and implementing Oracle Fusion API integrations using Oracle Integration Cloud (OIC), connecting Fusion Cloud with multiple external systems. My work includes building and optimizing REST and SOAP-based services, handling complex data mappings, and improving integration performance and reliability. I’ve also maintained existing integrations to ensure high availability and seamless data flow while collaborating closely with cross-functional teams to identify needs, streamline workflows, and deliver well-documented, reusable integration solutions. Automation: Backup/recovery orchestration, PITR, monitoring, and administration via shell scripts, Ansible, Jenkins, and IaC. 🔹 Cloud Architecture Certified in OCI, AWS, Azure, GCP, and Alibaba Cloud, with deep experience in hybrid & multi-cloud setups. Skilled in OCI Exadata Cloud@Customer, AWS RDS/Aurora, Azure SQL Database, Databricks, and multi-region failover. Migrated enterprise systems (DB + middleware) to cloud with zero-downtime cutovers and automated DR. 🔹 DevOps & Modern Platforms Proficient with Docker, Kubernetes, and OpenShift for containerized DB + application deployments. Extensive experience in building, optimizing, and maintaining Oracle Integration Cloud (OIC) processes, adapters, and orchestration for enterprise-scale clients. VBCS (Visual Builder Cloud Service): Skilled in designing and developing responsive, low-code applications integrated with Oracle SaaS and PaaS ecosystems. Strong background in CI/CD (Jenkins, GitLab, Ansible, Terraform). Experience securing secrets with Vault, integrating monitoring stacks (Prometheus, Grafana, ELK). 🔹 Odoo & Application Layer Odoo deployment, backend DB optimization, and module customization. Report building & tailoring business workflows for performance and usability. Tomcat, Apache, IBM WebSphere, Oracle WebLogic, and Bitnami stack administration. 🔹 Data & AI Solutions Data Engineering & Warehousing: Azure Data Factory, Databricks, Oracle OBIEE, Snowflake. AI Agent Development: Built agents for self-healing DBs, N8N automation, and natural language querying. Supabase Consultation: Connect Supabase with AI agents to simplify backend management for non-developers. Automate project provisioning, query execution, function creation, and API management. Enable natural language interaction with data, making database operations accessible to entire teams. ✅ Key Certifications: Oracle 19c OCP DBA | PostgreSQL Advanced v11 | MySQL 8.0 OCP | MongoDB Associate DBA | Redis Certified Developer | Microsoft Azure Administrator | OCI 2025 Certified Multicloud Architect | OCI GenAI | Oracle GoldenGate Implementation Specialist | WebLogic 12c OCP | YugabyteDB DBA

  • Oracle GoldenGate
  • Oracle Exadata
  • Oracle Data Guard
  • Oracle NoSQL Database
  • Oracle Patching
  • MySQL
  • MySQL Programming
  • Oracle Data Integrator
  • MariaDB
  • Oracle Cloud
  • Oracle Database
  • PostgreSQL
  • Oracle E-Business Suite
  • Database Administration
  • Oracle Database Administration
Muhammad F.

Gujrat, Pakistan

$15/hr
4.9
227 jobs

🚀 Python Data Engineer | Web Scraping & Automation Expert | Data Extraction, ETL & GoHighLevel Need reliable data from websites, APIs, PDFs, documents, or online directories—delivered directly into your CRM, database, or business workflows? I help businesses automate data collection, processing, and integration using Python-based solutions that are scalable, accurate, and built for long-term reliability. ✅ Services **Web Scraping & Data Extraction** * Web scraping, crawling, and data mining * Dynamic website scraping (JavaScript-heavy sites) * Data extraction from websites, APIs, PDFs, spreadsheets, and documents * Lead generation and web research * Scheduled and real-time data collection **Data Processing & ETL** * Data cleaning, validation, normalization, and enrichment * CSV, Excel, JSON, XML, and database exports * Custom ETL pipelines and workflow automation * Data deduplication and quality assurance **Automation & Integrations** * GoHighLevel (GHL) automation and CRM integration * REST & GraphQL API integrations * Workflow automation and data synchronization * Airtable, Google Sheets, and third-party platform integrations **Databases & Cloud** * MySQL, PostgreSQL, MongoDB, Firebase * AWS, Google Cloud, and DigitalOcean deployment * Automated data storage and pipeline monitoring ### ✅ Why Clients Work With Me ✔ Extensive experience across hundreds of scraping and automation tasks ✔ Expertise in Python, Scrapy, Selenium, Playwright, BeautifulSoup, and API integrations ✔ Clean, structured, production-ready data with validation and quality checks ✔ Experience handling large-scale scraping projects across thousands of pages and records ✔ End-to-end solutions—from data extraction and processing to automation and CRM integration ✔ Focus on reliability, maintainability, and business outcomes rather than just collecting data ### 🔄 Typical Workflow Website / API / PDF → Data Extraction → Cleaning & Validation → Database / CRM → Automation & Reporting Whether you need a simple scraper, a large-scale data pipeline, lead generation system, GoHighLevel integration, or a fully automated workflow, I can help you build a solution that saves time and scales with your business. 💡 Let's discuss your project and turn manual processes into automated, reliable systems.

  • Data Scraping
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SQL vs. NoSQL Databases: What is the Difference?

In the world of database technology, there are two main types of databases: SQL and NoSQL—or, relational databases and non-relational databases. The difference speaks to how they’re built, the type of information they store, and how they store it. Relational databases are structured, like phone books that store phone numbers and addresses. Non-relational databases are document-oriented and distributed, like file folders that hold everything from a person’s address and phone number to their Facebook likes and online shopping preferences.

We call them SQL and NoSQL, referring to whether or not they’re written solely in structured query language (SQL). In this article, we’ll explore what SQL is, how it makes these databases different, and how each type structures the data it holds so you can easily determine which type is right for you.

SQL: Relational databases

First, let’s take a look at one of the main features that separates these two systems: the way they structure data. A relational database—or, an SQL database, named for the language it’s written in, Structured Query Language (SQL)—is the more rigid, structured way of storing data, like a phone book. Developed by IBM in the 1970s, a relational database consists of two or more tables with columns and rows. Each row represents an entry, and each column sorts a very specific type of information, like a name, address, and phone number. The relationship between tables and field types is called a schema. In a relational database, the schema must be clearly defined before any information can be added.

For a relational database to be effective, the data you’re storing in it has to be structured in a very organized way. A well-designed schema minimizes data redundancy and prevents tables from becoming out-of-sync, a critical feature for many businesses, especially those that record financial transactions. A poorly designed schema can result in organizational headaches due to its rigidity. For example, a column designed to store U.S. phone numbers might require 10 digits because that’s the standard for phone numbers in the U.S. This has the advantage of rejecting any invalid values (for example, if a number is missing an area code). However, if you need to change the schema (for instance, if you need to include an international phone number entry with more than 10 digits), then the entire database needs to be edited. Key takeaway: excellent organization results in a compromise in flexibility with a relational database.

Structured Query Language (SQL) is a programming language used by database architects to design relational databases. In an SQL database like MySQL, Sybase, Oracle, or IBM DM2, SQL executes queries, retrieves data, and edits data by updating, deleting, or creating new records. SQL is a lightweight, declarative language that does a lot of heavy lifting for the relational database, acting like a database’s version of a server-side script. One particular advantage of SQL is its simple-yet-powerful JOIN clause, which allows developers to retrieve related data stored across multiple tables with a single command.

Another reason SQL databases remain popular is that they fit naturally into many venerable software stacks, including LAMP and Ruby-based stacks. These databases are well understood and widely supported, which can be a major advantage if you run into problems.

Popular SQL databases and RDBMS’s

  • MySQL—the most popular open-source database, excellent for CMS sites and blogs.
  • Oracle—an object-relational DBMS written in the C++ language. If you have the budget, this is a full-service option with great customer service and reliability. Oracle has also released an Oracle NoSQL database.
  • IMB DB2—a family of database server products from IBM that are built to handle advanced “big data” analytics.
  • Sybase—a relational model database server product for businesses primarily used on the Unix OS, which was the first enterprise-level DBMS for Linux.
  • MS SQL Server—a Microsoft-developed RDBMS for enterprise-level databases that supports both SQL and NoSQL architectures.
  • Microsoft Azure—a cloud computing platform that supports any operating system, and lets you store, compute, and scale data in one place. A recent survey even put it ahead of Amazon Web Services and Google Cloud Storage for corporate data storage.
  • MariaDB—an enhanced, drop-in version of MySQL.
  • PostgreSQL—an enterprise-level, object-relational DBMS that uses procedural languages like Perl and Python, in addition to SQL-level code.

NoSQL databases: Non-relational & distributed data

If your data requirements aren’t clear at the outset or if you’re dealing with massive amounts of unstructured data, you may not have the luxury of developing a relational database with clearly defined schema. Enter non-relational databases, which offer much greater flexibility than their traditional counterparts. Think of non-relational databases more like file folders, assembling related information of all types. If a WordPress blog used a NoSQL database, each file could store data for a blog post: social likes, photos, text, metrics, links, and more.

Unstructured data from the web can include sensor data, social sharing, personal settings, photos, location-based information, online activity, usage metrics, and more. Trying to store, process, and analyze all of this unstructured data led to the development of schema-less alternatives to SQL. Taken together, these alternatives are referred to as NoSQL, meaning “Not only SQL.” While the term NoSQL encompasses a broad range of alternatives to relational databases, what they have in common is that they allow you to treat data more flexibly.

How do NoSQL databases work? Instead of tables, NoSQL databases are document-oriented. This way, non-structured data (such as articles, photos, social media data, videos, or content within a blog post) can be stored in a single document that can be easily found but isn’t necessarily categorized into fields like a relational database does. It’s more intuitive, but note that storing data in bulk like this requires extra processing effort and more storage than highly organized SQL data. That’s why Hadoop, an open-source computing and data analysis platform capable of processing huge amounts of data in the cloud, is so popular in conjunction with NoSQL database stacks.

NoSQL databases offer another major advantage, particularly to app developers: ease of access. Relational databases have a fraught relationship with applications written in object-oriented programming languages like Java, PHP, and Python. NoSQL databases are often able to sidestep this problem through APIs, which allow developers to execute queries without having to learn SQL or understand the underlying architecture of their database system.

Common types of NoSQL databases

  1. Key-value model—the least complex NoSQL option, which stores data in a schema-less way that consists of indexed keys and values. Examples: Cassandra, Azure, LevelDB, and Riak.
  2. Column store—or, wide-column store, which stores data tables as columns rather than rows. It’s more than just an inverted table—sectioning out columns allows for excellent scalability and high performance. Examples: HBase, BigTable, HyperTable.
  3. Document database—taking the key-value concept and adding more complexity, each document in this type of database has its own data, and its own unique key, which is used to retrieve it. It’s a great option for storing, retrieving and managing data that’s document-oriented but still somewhat structured. Examples: MongoDB, CouchDB.
  4. Graph database—have data that’s interconnected and best represented as a graph? This method is capable of lots of complexity. Examples: Polyglot, Neo4J.

Popular NoSQL databases

  • MongoDB—the most popular NoSQL system, especially among startups. A document-oriented database with JSON-like documents in dynamic schemas instead of relational tables that’s used on the back end of sites like Craigslist, eBay, Foursquare. It’s open-source, so it’s free, with good customer service. Read more in Should You Use MongoDB? A Look at the Leading NoSQL Database.
  • Apache’s CouchDB—a true DB for the web, it uses the JSON data exchange format to store its documents; JavaScript for indexing, combining and transforming documents; and, HTTP for its API.
  • HBase—another Apache project, developed as a part of Hadoop, this open-source, non-relational “column store” NoSQL DB is written in Java, and provides BigTable-like capabilities.
  • Oracle NoSQL—Oracle’s entry into the NoSQL category.
  • Apache’s Cassandra DB—born at Facebook, Cassandra is a distributed database that’s great at handling massive amounts of structured data. Anticipate a growing application? Cassandra is excellent at scaling up. Examples: Instagram, Comcast, Apple, and Spotify.
  • Riak—an open-source key-value store database written in Erlang. It has fault-tolerance replication and automatic data distribution built in for excellent performance.

Reasons to use a SQL database

When it comes to database technology, there’s no one-size-fits-all solution. That’s why many businesses rely on both relational and nonrelational databases for different tasks. Even as NoSQL databases gain popularity for their speed and scalability, there are still situations where a highly structured SQL database may be preferable. Here are a few reasons you might choose an SQL database:

  1. You need to ensure ACID compliancy (Atomicity, Consistency, Isolation, Durability). ACID compliancy reduces anomalies and protects the integrity of your database by prescribing exactly how transactions interact with the database. Generally, NoSQL databases sacrifice ACID compliancy for flexibility and processing speed, but for many e-commerce and financial applications, an ACID-compliant database remains the preferred option.
  2. Your data is structured and unchanging. If your business is not experiencing massive growth that would require more servers and you’re only working with data that’s consistent, then there may be no reason to use a system designed to support a variety of data types and high traffic volume.

Reasons to use a NoSQL database

When all of the other components of your server-side application are designed to be fast and seamless, NoSQL databases prevent data from being the bottleneck. Big data is the real NoSQL motivator here, doing things that traditional relational databases cannot. It’s driving the popularity of NoSQL databases like MongoDB, CouchDB, Cassandra, and HBase.

  1. Storing large volumes of data that often have little to no structure. A NoSQL database sets no limits on the types of data you can store together, and allows you to add different new types as your needs change. With document-based databases, you can store data in one place without having to define what “types” of data those are in advance.
  2. Making the most of cloud computing and storage. Cloud-based storage is an excellent cost-saving solution, but requires data to be easily spread across multiple servers to scale up. Using commodity (affordable, smaller) hardware on-site or in the cloud saves you the hassle of additional software, and NoSQL databases like Cassandra are designed to be scaled across multiple data centers out of the box without a lot of headaches.
  3. Rapid development. If you’re developing within two-week Agile sprints, cranking out quick iterations, or needing to make frequent updates to the data structure without a lot of downtime between versions, a relational database will slow you down. NoSQL data doesn’t need to be prepped ahead of time.

Now that you’ve got an overview of SQL vs. NoSQL, who do you need to help you build and maintain your database systems? Relational and non-relational database management systems can get extremely complicated, and definitely require upkeep—especially when you factor in moving to the cloud. While it’s easy to manage a basic single-file database in a program like Microsoft Access, you’ll want to hire a capable database architect to handle your relational database management system (RDBMS) or NoSQL database management.