⭐⭐⭐⭐⭐ 𝟱.𝟬𝟬 𝗥𝗮𝘁𝗶𝗻𝗴 | 𝟯𝟬+ 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 🥇 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 🥇 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝗰𝗼𝗿𝗲 🏆 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗙𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿 😊𝗦𝗼𝗺𝗲 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜’𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 ✨ Built a Global Amazon Performance & Profitability dashboard tracking $13M+ revenue, ROAS, TACOS, CVR, contribution margin, and ASIN performance using Metabase and SQL. ✨ Designed Cross Channel Marketing dashboards integrating Google Ads and Meta Ads with structured ETL pipelines for unified ROI and attribution tracking. ✨ Developed automated SQL based Data Engineering workflows reducing manual reporting time by 60%+ for marketing and operations teams. ✨ Built executive level Metabase dashboards for leadership teams covering revenue run rate, performance tracking, and marketing efficiency metrics. 💡𝗥𝗲𝗮𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜 𝗦𝗼𝗹𝘃𝗲 » Marketing dashboards integrating Google Ads, Meta Ads, and GA4 » Tracking ROAS, CAC, LTV, CLTV, ROI, and contribution margin » Amazon revenue and profitability analytics » Building automated ETL pipelines for CRM and advertising platforms » Replacing manual Excel reporting with scalable Data Engineering systems » Optimizing slow SQL queries and improving dashboard performance » Designing structured Metabase and Superset Data Visualization systems 🚀𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 ✔ Strong blend of Data Analysis and Data Engineering ✔ Clean ETL architecture that keeps dashboards accurate and reliable ✔ Advanced SQL optimization for high performance Metabase systems ✔ Business focused approach before building dashboards ✔ Clear communication and long term partnership mindset 🛠️𝗠𝘆 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜 ✔ Metabase ✔ Apache Superset ✔ Looker ✔ AWS QuickSight ✔ Tableau ✔ PowerBI 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗘𝗧𝗟 ✔ AWS Glue ✔ Python ✔ AWS ✔ AWS Lambda ✔ Airbyte ✔ Fivetran ✔ dbt ✔ Structured ETL pipelines 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 ✔ Snowflake ✔ Amazon Redshift ✔ PostgreSQL ✔ MySQL ✔ Clickhouse ✔ Supabase 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 ✔ SQL ✔ Python 😊𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗩𝗮𝗹𝘂𝗲 “Clear understanding of marketing metrics and strong SQL expertise.” “Delivered structured ETL pipelines and reliable Metabase dashboards.” “Helped us move from manual reporting to scalable Data Engineering systems.”

🏆 𝟏𝟓 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 || 🥇 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝑵𝒆𝒆𝒅 𝒂 𝒔𝒆𝒏𝒊𝒐𝒓 𝒆𝒏𝒈𝒊𝒏𝒆𝒆𝒓 𝒕𝒐 𝒃𝒖𝒊𝒍𝒅 𝒐𝒓 𝒔𝒄𝒂𝒍𝒆 𝒚𝒐𝒖𝒓 𝒘𝒆𝒃 𝒐𝒓 𝒎𝒐𝒃𝒊𝒍𝒆 𝒂𝒑𝒑? I help startups and businesses turn ideas into scalable, production-ready SaaS products. With 15 years of experience, $300K+ earned on Upwork, 8,960+ hours delivered, and a 100% Job Success score, I've shipped high-quality solutions for startups and growing companies worldwide. I work across health tech and ad tech. I built React Native features for Yas.life, a health-tech app live on the App Store and Google Play, and I'm currently the lead engineer at AppIQ (ad tech), where I own the architecture of a data-driven platform that optimizes marketing funnels with ML-powered A/B testing, built on a Cloudflare edge stack and custom data pipelines. What I can help you with: ✔ Full-stack SaaS development (React, Next.js, Node.js, NestJS, TypeScript, PayloadCMS, Meteor) ✔ Mobile apps (React Native, Flutter) with native iOS/Android builds and store releases ✔ Cloudflare architecture (Workers, Queues, KV, R2) and scalable data pipelines ✔ AI-enabled features and AI-first development (Claude, OpenAI, Gemini; I build with Claude Code and Cursor) ✔ API development and third-party integrations ✔ Scaling, refactoring, and hardening existing applications Proven experience: • Built and scaled multiple SaaS platforms, from MVP to production • Sole technical decision-maker and lead engineer at an ad-tech startup • Long-term collaborations, consistent 5-star feedback, and repeat clients Tech stack: React, Next.js, React Native, Node.js, NestJS, TypeScript, GraphQL PostgreSQL, MongoDB, ClickHouse, Cloudflare (Workers/Queues/R2/KV), AWS, Firebase, Docker Flutter, PayloadCMS, Meteor, Tailwind, Redux, Jest / Vitest / Playwright How I work: I focus on clear communication, clean architecture, and reliable, maintainable code, with tests and CI as defaults. Whether you're starting from scratch or improving an existing system, I build for long-term success. I use AI seriously in my workflow while reading and standing behind every line that ships. 𝑳𝒆𝒕’𝒔 𝒅𝒊𝒔𝒄𝒖𝒔𝒔 𝒚𝒐𝒖𝒓 𝒑𝒓𝒐𝒋𝒆𝒄𝒕. 𝑰 𝒂𝒎 𝒂𝒗𝒂𝒊𝒍𝒂𝒃𝒍𝒆 𝒂𝒏𝒅 𝒓𝒆𝒂𝒅𝒚 𝒕𝒐 𝒉𝒆𝒍𝒑.

I represent a development team focused on DevOps, cloud infrastructure, backend deployment, and production reliability. We help companies deploy, stabilize, and scale production systems: SaaS platforms, fintech backends, healthcare systems, data pipelines, API-heavy products, and applications that have already outgrown simple deployment setups. Our work usually involves Docker-based deployments, AWS/GCP infrastructure, CI/CD pipelines, staging and production environments, monitoring, logging, database reliability, background jobs, queue-based processing, and production troubleshooting. Typical situations we help with include: – moving from manual deployment to predictable CI/CD – stabilizing production systems with recurring failures – setting up Dockerized backend environments – improving monitoring, logs, alerts, and production visibility – supporting high-load backends and background processing – deploying APIs, SaaS platforms, and data processing services – helping teams understand why systems fail under real usage We are not just focused on “making it deploy”. The goal is to make the system easier to operate, monitor, and scale after launch. Tech stack: Cloud & infrastructure: AWS, GCP, Cloud Run, EC2, S3, RDS, Vercel, Linux, Nginx Containers & orchestration: Docker, Docker Compose, Kubernetes CI/CD: GitHub Actions, GitLab CI/CD, Jenkins, AWS CodePipeline Monitoring & observability: Prometheus, Grafana, Sentry, Datadog, structured logging, alerts Databases: PostgreSQL, MySQL, MongoDB, Redis, ClickHouse Queues & background jobs: Kafka, NATS, Redis queues, scheduled jobs, cron workflows Backend stack: Node.js, Python, Go, Java, REST APIs, WebSockets Security & access: environment management, secrets, role-based access, Keycloak, deployment hardening

I am a Senior Next.js Developer focused on React, Node.js, and API-driven web applications. My main work is building custom web products where the frontend depends on clean architecture, reliable API integration, authentication, and real user workflows. I usually work on Next.js / React applications connected to existing backends, Node.js services, REST or GraphQL APIs, Firebase, CMS tools, and third-party integrations. I can help when you need a React developer or front-end developer who can do more than just build UI screens. I can take Figma designs, Bootstrap themes, existing prototypes, or legacy interfaces and turn them into production-ready Next.js / React pages connected to real data and backend logic. I also support full-stack Next.js and MERN-stack products when the project uses React, Node.js, Express.js, MongoDB, or a similar JavaScript-based stack. My backend work usually covers API integration, authentication flows, account logic, dashboards, ecommerce flows, admin panels, and integration with external services. Earlier in my career, I worked with WordPress, CMS-based websites, and classic web development projects. That experience helped me understand content structure, SEO-friendly pages, admin workflows, landing pages, and business websites. Today, my focus is custom development: Next.js applications, React frontends, full-stack Next.js products, SaaS platforms, ecommerce flows, marketplaces, customer portals, and web applications built around real product logic. Typical projects I can help with: - Next.js and React web application development - full-stack Next.js development with Node.js and Express.js - React developer / front-end developer work for existing products - REST API and GraphQL API integration - Firebase, Firestore, and Google Cloud Platform integrations - NextAuth and custom authentication flows - SaaS dashboards, customer portals, marketplaces, and ecommerce platforms - Strapi, headless CMS, and CMS-driven web products - Figma-to-Next.js or Bootstrap-to-Next.js implementation - frontend architecture, performance improvements, and code maintainability Tech I work with: Next.js, React, TypeScript, JavaScript, Node.js, Express.js, NestJS, MongoDB, PostgreSQL, RESTful API, GraphQL, Firebase, Firestore, Google Cloud Platform, NextAuth, Redux, Strapi, CMS integrations. I am comfortable joining an existing team, working directly with a CTO or founder, taking ownership of a product area, and moving features from backlog to release.

Hello, I am Rumman! I am a Full-Stack Software Engineer specializing in Python, Django, Django REST Framework, React.js, Next.js, Flutter mobile application development, artificial intelligence, machine learning, API integration, automation, and scalable SaaS solutions. I have professional experience building backend systems from scratch, developing secure REST APIs, creating responsive frontend interfaces, developing cross-platform mobile applications, designing analytical dashboards, processing large datasets, optimizing databases, fixing complex bugs, and upgrading legacy applications. My technical expertise includes: • Python, Django and Django REST Framework • React.js and Next.js frontend development • Flutter cross-platform mobile app development • Artificial intelligence and machine learning solutions • Data preprocessing, feature engineering and model evaluation • Supervised and unsupervised machine learning • Random Forest, regression, SVM and One-Class SVM • Species Distribution Modeling and environmental data analysis • Pandas, NumPy, scikit-learn and Matplotlib • REST API development and third-party integrations • PostgreSQL, MongoDB and ClickHouse • Docker, Jenkins, GitHub Actions and CI/CD pipelines • SaaS architecture, authentication and business logic • Automation, web scraping and Slack bot development • Performance optimization, debugging and application upgrades I can build complete web, mobile, and AI-powered solutions, including Django backend systems, responsive React.js or Next.js frontends, Flutter mobile applications, and machine learning models connected through secure APIs. I have experience working with data preprocessing, model development, testing, visualization, predictive analysis, and ecological and environmental datasets. I can also integrate trained machine learning models into web or mobile applications to create practical, data-driven products. I contributed to Google Summer of Code, where I worked on the pyOBIS open-source Python package, implemented advanced HTTP caching, analyzed ocean-science datasets, created interactive Jupyter notebooks, and developed machine learning workflows for ecological and biodiversity research. I have also contributed to established open-source projects, including Django, Django REST Framework, Scrapy, Celery and DRF Extensions. I focus on clean architecture, maintainable code, scalability, performance, and clear communication. I carefully understand project requirements, provide regular updates, and aim to deliver reliable solutions on time. Whether you need a Django backend, REST API, React or Next.js website, Flutter mobile app, AI or machine learning solution, SaaS platform, analytical dashboard, automation system, database optimization, bug fixing, or application upgrade, I can help turn your idea into a reliable and scalable product. Thanks !

I'm a highly experienced freelanced developer and author. Specificially, I've got extensive experience with Rails development, including a lot of hard programming with tight deadlines; I've worked with Thoughtbot on Sermo's America's Top Doctor contest, I've spoken about software development at conferences, I've worked with The Casting Frontier on their online submissions system, and much more - in short, a lot of software development experience in general and Rails in particular. In fact, I wrote the computer programming books Practical Rails Plugins, Practical Reporting with Ruby on Rails, and others; I've also written for a number of magazines, including PHP International Magazine, Linux Pro Magazine,and others. I'm native to Greater Boston, and work with clients all over the country - usually remotely.

I'm a Senior Data Engineer with 8+ years of strong technical expertise in building reliable and scalable data infrastructure, from data ingestion to transformation to warehousing, streaming, and data analytics, specializing in dbt, Snowflake, Airflow, Databricks (and more) across AWS, Azure, and GCP, with robust ELT and ETL pipelines. If your data pipelines are brittle, your data warehouse is slow, or your data was never built to scale, that is exactly what I fix, with fault tolerance, observability, and audit-ready quality engineered in from day one. I cover the full data engineering lifecycle: batch and real-time data pipelines, Modern Data Stack builds, lakehouse architecture, cloud and warehouse data migration, governance, and the data foundations that feed modern systems. 🎯 Core Expertise: ✅ Data Pipelines & Orchestration: End-to-end batch and real-time pipelines with Apache Airflow, Dagster, Prefect, AWS Step Functions, and Azure Data Factory. Idempotent, schema-drift tolerant, and monitored so failures surface before they reach your stakeholders. ✅ Cloud Warehousing & Lakehouse: Snowflake, BigQuery, Amazon Redshift, Databricks, and Microsoft Fabric, with Delta Lake and Apache Iceberg lakehouse foundations governed through the Glue Data Catalog and Lake Formation, with Athena and Redshift Spectrum for serverless queries, Medallion Architecture, partitioning, and performance tuning. ✅ Data Transformation & Modeling: dbt (Core and Cloud), SQLMesh, Spark and PySpark on EMR and AWS Glue, Star Schema and dimensional modeling, analytics engineering best practices, full test coverage, and CI/CD for data models. ✅ Streaming & Real-Time Analytics: Distributed streaming with Apache Kafka, Flink, Spark Structured Streaming, Kinesis, and Pub/Sub, including exactly-once semantics, dead-letter queues, CDC, and end-to-end latency guarantees. ✅ Data Ingestion & Integration: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, and custom CDC pipelines for near-real-time sync across structured, semi-structured, and unstructured sources. ✅ Data Quality, Governance & Observability: Automated data quality frameworks, SLA monitoring, auditable lineage, data catalog and metadata management, and observability that catches bad data early. ✅ Cloud Migration & Modernization: Zero-downtime migration handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime, replacing brittle ETL and ELT with a clean Modern Data Stack. ✅ AI-Ready Data Infrastructure: Pipelines engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ------------------------------------------------------ ⚙️Tech Stack: ⚡ Warehouses & Lakehouse: Snowflake | BigQuery | Redshift | Databricks | Microsoft Fabric | Athena | Delta Lake | Iceberg ⚡ Transformation: dbt | SQLMesh | Spark | PySpark | AWS Glue | EMR | Star Schema | Medallion Architecture ⚡ Orchestration: Airflow (GCP Cloud Composer and AWS MWAA) | Dagster | Prefect | Azure Data Factory | Step Functions ⚡ Streaming: Kafka | Flink | Kinesis | Pub/Sub | Spark Structured Streaming | ClickHouse ⚡ Ingestion: Fivetran | Airbyte | Matillion | Stitch | Hevo | Meltano | CDC ⚡ Governance & Catalog: Glue Data Catalog | Lake Formation | Unity Catalog | Microsoft Purview | Dataplex ⚡ Cloud: AWS | GCP | Azure ⚡ Languages: Python | SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) | FastAPI ⚡ Databases: PostgreSQL | MySQL | SQL Server | DynamoDB | MongoDB ⚡ BI & Reporting: Looker | Tableau | Power BI | GA4 | Metabase | Superset | Streamlit | Grafana ------------------------------------------------------ ⭐ What Clients Say: 🏅 "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS 🏅 "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm 🏅 "Clean architecture, solid dbt models, and Airflow pipelines running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup 🏅 "We came to him with a Spark pipeline costing us a fortune and delivering stale data. He restructured the workflow logic and cut processing time by 70%." – Leo, Head of Analytics, HealthTech SaaS ------------------------------------------------------ 🏆 TOP RATED PLUS | EXPERT-VETTED | Top 1% on Upwork | 8+ Years Experience | 100% Job Success 🚀 Ready to build a scalable, production-ready data infrastructure to turn your raw data into reliable, actionable business insights? Click the 'Invite to Job' button on the top right, and let's discuss your data pipeline!

Senior Golang Engineer with 5+ years of experience building scalable backend systems, microservices, and high-performance distributed applications. I specialize in designing reliable, production-grade architectures using Golang, PostgreSQL, Redis, Kafka, gRPC, Docker, and Kubernetes. I have hands-on experience developing event-driven systems, REST/gRPC APIs, real-time data processing pipelines, caching layers, and cloud-native services focused on scalability, performance, and maintainability. My background includes working on fintech, telecom, analytics, and infrastructure-heavy platforms where performance and reliability are critical. Core expertise includes: • Golang (Go) • Microservices Architecture • Distributed Systems • Kafka & Event-Driven Systems • PostgreSQL, Redis, MongoDB, ClickHouse • gRPC & REST APIs • Docker & Kubernetes • Performance Optimization & Concurrency • System Design & Backend Scalability • CI/CD & Cloud Infrastructure Recently, I have also been exploring AI infrastructure and backend systems for AI-driven applications, combining scalable backend engineering with modern AI workflows. I focus on writing clean, maintainable code and delivering reliable solutions that solve real business problems. Whether you need a backend service from scratch, API development, system optimization, or scalable architecture design, I can help deliver production-ready solutions efficiently.

I help businesses maintain and scale existing Laravel/PHP platforms and internal systems (15+ years in web development). Best fit: long-term development & technical ownership (3+ month engagements), not one-off tasks. Core areas: feature development, production support, performance optimization, refactoring, legacy modernization, API integrations. I work with a small in-house team (backend, frontend, QA) to provide reliable long-term support when needed. Recent relevant work: - Maintenance and modernization of legacy internal systems (stability, speed, technical debt reduction) - PIM / product data platforms managing 300,000+ SKUs with complex workflows - Complex multi-tenant SaaS platforms with admin dashboards, permissions, and background processing - AI-powered SaaS features (automation, intelligent search, data enrichment) - Enterprise integrations (Shopify, SAP, Salesforce, Stripe, internal APIs) Tech stack: PHP (Laravel/Symfony), Vue/React, SQL/MySQL/PostgreSQL/NoSQL, AWS, queues & background workers. Selected outcomes: - Page load time improved by 45% (2.2s → 1.2s) - API response time reduced from 300ms to under 150ms - Uptime improved to 99.99% for business-critical platforms - Automated test coverage increased to 90%+ Security & compliance awareness: encryption in transit/at rest, GDPR-ready systems, secure payment workflows (PCI principles). If you have an existing Laravel/PHP system that needs long-term ownership and steady development, let’s discuss your roadmap.

Senior Node.js Developer. Over 10 years building production Node.js, NestJS, and TypeScript backends end-to-end. Full-stack ownership across React, Angular, and the messy migrations between them. EdTech / healthcare: Ionic + web for education; HIPAA-oriented SaaS backend work. Mobile scale: backend optimization for a fitness product with 10M+ downloads and heavy transaction load. Angular: long-term products, migrations, enterprise UI, maintainable modules. Strong proof on large Angular codebases when that is the job. AI integration where it earns its keep: OpenAI / Gemini for document automation and workflow APIs. What I deliver: - Production Node.js + NestJS backends, TypeScript end-to-end - Express services, microservices architecture, REST and GraphQL APIs - Backend optimization at mobile-app scale (10M+ downloads case) - Angular front-ends and migrations when the project needs full-stack ownership - AI integration where it serves the product Tech stack: Node.js, NestJS, TypeScript, Express, Angular, React, MongoDB, PostgreSQL, REST/GraphQL, Firebase, Git. Senior Node.js Developer, Node.js Developer, NestJS Developer, Backend Developer, TypeScript Developer, Angular Developer, Full Stack Developer, Microservices Developer, Backend Architect.