Hire the Best MariaDB Professionals

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, SQL Server, MongoDB adn Oracle, 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!

I help founders and startups go from idea to working AI-powered product in weeks, not months. E-commerce startup: Built a full marketplace MVP in 3 days, helping secure $500K seed funding AI-Powered SaaS MVPs & Intelligent Solutions Top Rated on Up-work Proven Results (Before Anything Else) FTSE 100 company: Delivered an internal AI dashboard in 5 days, replacing a 6-week backlog Ed-tech platform: Shipped an AI-enabled learning system in 1 week I’m an AI Engineer & Founder of an AI-Powered App Agency, specializing in rapid SaaS MVP development using modern AI tooling. I combine LLMs, agents, and full-stack development to ship production-ready products at startup speed. I work extensively with Lovable.dev, Replit Agent, and Bolt.new to dramatically reduce development time without sacrificing scalability. I Build AI-powered SaaS MVPs AI chatbots, agents, and automation workflows Subscription platforms with Stripe integration Real-time voice & multimodal AI applications RAG systems and knowledge assistants Cloud-hosted AI platforms ready to scale AI & LLM Expertise- Models & Platforms OpenAI (GPT-4, GPT-4o, Realtime API) Anthropic Claude (Opus, Sonnet) Google Gemini Stable Diffusion, Flux LLM Systems RAG pipelines AI agents & multi-agent workflows Prompt engineering & orchestration Vector search (Pinecone, Weaviate, Chroma, Qdrant) Core Tech Stack: Front-end: React, Next.js, Vue.js Tailwind, Vite AI & MLOps PyTorch, TensorFlow Back-end: Node.js , Express.js, FastAPI, Django, Python, Flask, Express PostgreSQL, MongoDB, Redis LangChain, LlamaIndex, AutoGen Docker, KubernetesAWS, Google Cloud, Azure AI Tooling: Lovable.dev Replit Agent Bolt.new Cursor AI I Deliver MVPs Faster Rapid UX & app scaffolding using Lovable / Bolt / Replit AI-assisted backend logic, agents, and workflows Custom code where scale or complexity demands it Fast iteration based on real user feedback This approach consistently cuts weeks off traditional dev timelines. If you want to launch fast, validate early, and scale with confidence, I’d love to help. Click “Invite to Job” or schedule a discovery call and let’s turn your idea into a working AI-powered product. Let’s Build

Hi, I’m Sandeep — A full stack software engineer with 5+ years of hands-on experience building modern, fast, and secure web applications using PHP I work like a professional product team: ✔️ I Have pain subscription of cursor ai and know how to use efficiently to create/debug. ✔️ Use GitHub or Bitbucket for clean version control ✔️ Write clean, maintainable, production-ready code ✔️ Integrate APIs with strong client-side validation and error handling ✔️ Deliver complete documentation — from API usage to deployment steps ✔️ Optimize websites for speed, SEO, and responsiveness ✅ What I Can Do for You: Custom Dashboards & Admin Panels Booking Systems, Multi-Page Applications, SaaS Applications, Market Place applications REST API Development SEO Optimization, Lighthouse Improvements Full project setup with codebase + documentation + deployment Lando, Docker 📄 Deliverables I Include: Clean and well-structured source code GitHub or Bitbucket API integration guide or documentation Deployment-ready files and instructions (S3, GCP, Hostinger, VPS, etc.) Optional post-delivery support Clients hire me because I’m fast, reliable, and communicative — and I take full ownership of the project. If you're looking for a developer who will think beyond code and deliver business-ready solutions, let’s connect. Let me know if you want a version customized further for e-commerce, SaaS, or admin dashboards, or a separate bio section for your specialized project catalog.

I am a senior database, data architecture, and BI consultant with 42 years of experience designing business systems, databases, data warehouses, integrations, and analytics solutions across industries such as retail, SaaS, healthcare, asset management, banking, manufacturing, services, e-commerce, and finance. My strongest value is connecting business needs with reliable technical architecture. I help clients move from scattered data, fragile reports, and manual processes to analytical environments that are fast, reliable, maintainable, and ready for BI or AI. Core strengths • Database architecture, SQL, performance tuning, and data modeling • Data warehouse design, ETL/ELT, and automated data pipelines • Power BI dashboards, semantic models, DAX, and Power Query • BigQuery, SQL Server, SingleStore, PostgreSQL, MySQL, Oracle, and Microsoft Fabric • Python, APIs, Google Cloud, AWS, Azure, and cloud-based data workflows • KPI definition, metric validation, executive reporting, and AI-ready data layers Unlike many dashboard-focused consultants, I come from a deep database and systems background. I design the structure behind the report: schemas, relationships, ETL routines, indexing strategy, validation rules, semantic models, and performance optimization. This helps clients avoid fragile dashboards built on messy data and instead create a solid data foundation for reporting, analytics, and AI. AI-ready data architecture Many companies try to connect AI directly to raw databases, but that often creates slow, expensive, and unreliable answers. My approach is different: I build governed analytical layers where definitions, relationships, KPIs, and business rules are explicit. This improves trust, reduces cost, increases performance, and allows AI to work with business-approved metrics rather than guessing from raw tables. Recent project examples - Database Performance / DBA Leadership I am responsible as DBA and Database Lead for a massive infrastructure using SingleStore and SQL Server, working at billion-record scale with the responsibility to deliver query results in less than 1 second. This involves database design, indexing strategy, stored procedures, and continuous optimization of high-volume workloads. - AI-Connected Semantic Model with Power BI and Claude I designed a cloud-based analytical solution using Cloud Run, Python, GitHub/Artifacts, Cloud Scheduler, BigQuery, and Power BI semantic models, enabling Claude to connect to governed business data. The solution included specialized skills to query the semantic model, respect business rules, and provide accurate answers with high performance and data reliability. - AI Data Enrichment on Google Cloud I designed and implemented a serverless AI enrichment pipeline using Google Cloud Run, Cloud Tasks, Cloud Scheduler, Python, and BigQuery. The client needed to enrich millions of company records using GROK AI within a tight processing window while controlling BigQuery costs. The result was millions of enrichment tasks completed within SLA, stable throughput, structured validation, and more than 90% reduction in BigQuery costs. - IoT Data Aggregation with BigQuery I built a Google Cloud solution to collect high-frequency sensor data from thousands of sensors through an API every three minutes. The architecture used Cloud Run, Python, GitHub/Artifacts, Cloud Scheduler, and BigQuery, creating an automated and scalable data warehouse process running for months without manual intervention. - SaaS Product Analytics For a SaaS company, I transformed complex Firebase / Firestore JSON data into structured analytical tables in BigQuery. I created the ETL routines, designed the analytical foundation, and delivered Power BI dashboards for product usage, engagement, trial behavior, feature adoption, and conversion analysis. - Retail Operations Reporting I built an automated reporting system for a large restaurant chain, processing POS data with Python ETL, cloud automation, AWS infrastructure, and Power BI applications. The system delivered daily KPI reporting for sales, revenue, labor, service times, customer behavior, and operational performance. - Asset Management Analytics I developed a portfolio monitoring solution using Python ETL, Reorg API, AWS, database design, and Power BI. The solution tracked liquidity, EBITDA, leverage, and other investment KPIs, giving the client daily updated information for portfolio analysis and decision-making.

I am MongoDB SI certified DBA and Developer with 100% job success ratio. I have 10+ years of experience including MongoDB Atlas, Query optimisation, Index, Schema, MongoDB Cluster, DB Version Update, Sharding, replication, security, backup restore and query design.

I am Sr Database Developer (MySQL/MariaDB) and Sr Full-Stack Developer. My areas of expertise are database-driven application development, database performance optimization, and data processing projects. Examples of projects I worked on: database server configuration/optimization, high-availability database solutions, performance optimization/caching projects, data extraction/mining projects, data migration/import/export projects, multi-threaded data processing projects, web page(s) loading analysis etc. I rate myself as a highly skilled professional. It does not mean I code 2-3 times faster. It means I do things right on first try.