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Top freelance Data Engineering developers available to hire
Freelance Data Engineering Developer5.0 (237 reviews)
**📝 Profile Context / Summary**
With 10+ years across enterprise IT and global freelancing, I am an AI-Stack Architect—not just a full-stack developer. In 2026, the industry has shifted decisively: software is no longer just written; it is architected, governed, and continuously learned. The most valuable engineers are no longer those who simply write code, but those who can turn code into cognition—engineers fluent in the AI-stack. I am that engineer.
I design and build agentic platforms—systems where AI doesn't just assist but actively plans, builds, tests, and releases software. I have successfully delivered complex solutions across Medical, Fintech, Employee Management, and SaaS industries, handling everything from AI-native frontends to hyper-scalable microservices with autonomous agent orchestration.
**🤖 AGENTIC AI & MACHINE LEARNING**
2026 is the breakout year of AI inferencing—where trained models generate predictions and outputs from new data. Most AI computing is now spent on inference rather than training. I specialize in:
Agentic AI & Orchestration: LangChain, LlamaIndex, AutoGen, CrewAI—building multi-agent systems that plan, act, and adapt in real time. Full-stack agent platforms combining proprietary training data, planning models, and custom actuation layers.
Generative AI & LLMs: OpenAI GPT-4/API, Google Gemini, Anthropic Claude, HuggingFace Transformers. Retrieval-Augmented Generation (RAG) with vector databases (Pinecone, Chroma, Weaviate, FAISS).
AI-Native Development: 42% of committed code is now AI-generated, projected to reach 65% by 2027. I don't just use AI tools—I orchestrate AI agents across the entire SDLC: planning, design, build, test, deployment, and maintenance.
Deep Learning & Classical ML: TensorFlow, PyTorch, CNNs (Computer Vision), RNNs/LSTMs (Time-Series/NLP), Scikit-learn, Pandas, NumPy.
Model Deployment & Optimization: Model compression, quantization, edge computing, cost-per-prediction optimization.
AI Governance & Security: AI-generated code carries roughly double the security risk violations of human-written code. I implement robust governance, testing, and security controls for AI systems.
**⚛️ MODERN FRONTEND**
React remains the most widely used UI library, with 67% of new enterprise React projects now built on Next.js—a 300% increase since 2023. React Server Components are now the default:
Core: React 19, Next.js 16 (App Router, Server Components, Turbopack), Remix, Svelte 5 (runes), Astro.
Styling: Tailwind CSS, shadcn/ui (1.87M weekly downloads), Framer Motion, Material-UI.
State: Zustand (35% adoption, 35ms updates) vs Redux (38% adoption, 65ms), TanStack Query, Jotai.
Build Tooling: Vite 8 with Rolldown (Rust-based, 10-30x faster builds), Turbopack.
TypeScript: Used by 38% of professional developers, required in 72% of frontend job postings.
**📱 MODERN MOBILE**
React Native's New Architecture (stable since 2024) delivers significant performance improvements through synchronous native module calls:
Frameworks: React Native (Expo), NativeScript, Flutter.
Native: iOS (Swift/SwiftUI), Android (Kotlin & Jetpack Compose).
Emerging: GPU-powered rendering for consumer and enterprise apps.
**⚙️ MODERN BACKEND & API**
Runtimes: Node.js (NestJS, Express), Bun, Deno, Python (FastAPI—57.9% developer usage, up 7% from 2024), Java (Spring Boot 4.0—modularized, Java 25 LTS support).
Spring AI 1.0: Built-in support for integrating LLMs and AI services into enterprise Java applications.
API Design: RESTful, GraphQL (Federation), gRPC, Webhooks, WebSockets.
Event-Driven: Apache Kafka, RabbitMQ, AWS SNS/SQS.
**☁️ DEVOPS & CLOUD (2026 Standard)**
Cloud-native and Serverless adoption has surpassed 70% penetration in enterprise IT. Multi-cloud is now the standard—Gartner projects over 75% of cloud customers will adopt this model:
Cloud: AWS, GCP, Azure (multi-cloud architecture).
Containerization & Orchestration: Docker, Kubernetes (K8s), Helm.
Serverless: AWS Fargate, Lambda, Cloudflare Workers—extending to data pipelines, real-time streaming, and event-driven microservices.
IaC: Terraform, AWS CDK, Pulumi.
CI/CD: GitHub Actions, GitLab CI, ArgoCD, Jenkins.
**🗄️ DATABASES & SEARCH**
Relational: PostgreSQL (PostGIS), MySQL, SQLite.
NoSQL: MongoDB, DynamoDB, Firebase.
Vector (AI): Pinecone, Chroma, Weaviate (for RAG and semantic search).
Search: Elasticsearch, Algolia, Meilisearch.
Caching: Redis, Memcached.
**🔗 CRM, AUTOMATION & INTEGRATION**
In 2026, the CRM market is consolidating around Salesforce, Microsoft, ServiceNow, and HubSpot as a durable challenger. Both platforms have invested heavily in agentic AI, predictive intelligence, and conversational AI:
CRMs: Salesforce (Apex), HubSpot (Agentic Engagement Object), Zoho.
Low-Code/No-Code: Gartner forecasts the low-code market at $44.5 billion in 2026, with 75% of new enterprise apps built on low-code platforms.
Automation: VBA, Excel Macros, Google App Script, Bubble.io, n8n, Make, Zapier.
Citizen Development: 80% of low-code users are now "citizen developers".
**🚀 Why Partner With Me in 2026?**
The software industry has crossed a clear threshold in 2026. Generative AI is no longer just helping developers write code faster—it is reshaping how software is planned, built, tested, and delivered. The role of the developer has evolved from coder to curator of intent, constraints, and outcomes.
**I bring:**
10+ years of battle-tested engineering across the full spectrum.
Agentic AI fluency—the ability to orchestrate AI agents across the entire SDLC.
Systems thinking and architectural judgment—skills that AI cannot replace.
Security-first mindset—AI amplifies what's already there; where code quality is managed, AI accelerates delivery; where it isn't, it accelerates technical debt and security exposure.
Whether you need an AI-native application, a microservices overhaul, an agentic workflow orchestration, or an intelligent CRM integration—I deliver professional, scalable, and governable solutions.
Let's architect intelligence together.
**Contact me today.**
Freelance Data Engineering Developer5.0 (59 reviews)
Seasoned Web Developer and Blockchain enthusiast with a proven track record in the IT and services industry. Expertise in Research, PHP, HTML, JavaScript, and Blockchain development, including Smart Contracts. Skilled in automation, application testing, and cybersecurity analysis for web and mobile apps.
Freelance Data Engineering Developer5.0 (135 reviews)
Engineer with a strong sense of appealing user interfaces, efficient software design, and outstanding online platforms. I use my stack to create scalable and high-performing web solutions. I am a full-stack software engineer who is passionate about creating amazing products and collaborating with other exceptional engineers to find quick fixes for issues.
Freelance Data Engineering Developer5.0 (31 reviews)
I'm Damilola Ogunmoye, a tech enthusiast, passionate result-driven solution provider, and the Co-founder and CTO at a Technology company that focuses on developing products and digital solutions; to empower forward-thinking businesses. I have a Bsc. in Computer Science with Economics and graduated with honors.
I have over ten years of experience building digital products in different industries using various tools and technologies. My focus is on leading a team that delivers clean, maintainable, scalable, secured, and robust products with great architecture.
I've worked with Javascript frameworks/libraries like React, Vue, ReactNative, Svelte, etc. CSS frameworks and libraries such as TailwindCSS, SASS, LESS, etc., Programming languages such as PHP, Go, Python, Javascript, etc., as well as relational and No SQL databases not limited to MySQL, MSSQL, MongoDB, Redis, PostgresSQL.
I've helped build APIs for products and love building out tools for fun.
I believe in continuing to innovate. One must always strive to improve by learning every day.
I am currently enjoying working with Laravel, Tailwind, VueJS, and InertiaJS at the moment. Diving deep into Coding Smart Contracts in Solidity and Building Machine Learning Algorithms for Fun.
Feel free to chat with me about any issues you might encounter in subjects not limited to Product Design and Architecture, Deployment (CI/CD), Detailing Technical Specifications, etc. I'll be more than willing to help.
Freelance Data Engineering Developer5.0 (259 reviews)
With over 15 years of experience across software engineering, architecture, and product leadership, I specialize in building high-performing engineering teams, architecting scalable systems, and driving strategic product delivery. As a Tech Lead and adjunct faculty member, I combine hands-on technical expertise with leadership, mentorship, and education to deliver enterprise-grade solutions while developing the next generation of engineers.
Technology Stack:
Mobile & Web: Flutter/Dart, React, Multi-tenant Architectures
Cloud & Backend: AWS (AppSync, Amplify, Lambda), Firebase, GraphQL, REST APIs
Languages: C/C++/C#, Dart, Java, Python, JavaScript/TypeScript
Specialized: IoT, Embedded Systems, Edge AI, Information Security
Architecture: Clean Architecture, Microservices, Event-Driven Systems
Leadership & Roles:
Tech Lead / Chapter Lead – Leading cross-functional teams of 8+ engineers
Product & Engineering Manager – Driving product strategy and delivery
Solutions Architect – Designing enterprise systems and multi-tenant platforms
Educator & Mentor – Adjunct faculty + 300+ mentees on Codementor
Key Expertise:
Teaching computer science fundamentals and advanced topics
Leading distributed engineering teams and establishing technical standards
Architecting and delivering complex SaaS platforms
Strategic product roadmapping and stakeholder management
Building developer assessment frameworks and quality systems
Mentoring engineers from junior to senior levels
Educational Background:
PhD Candidate, Computer Engineering (Edge AI Research)
Master of Computer Engineering
Master of Business Administration (MBA)
Postgraduate Diploma, Software Development Skills (UNIX)
Bachelor of Computer and Information Sciences
Current Focus:
Building scalable multi-tenant platforms, AI-driven development workflows, team capability development, and strategic consulting and education.
Freelance Data Engineering Developer4.5 (2 reviews)
# 👋 How Do I Help?
Just like a good doctor with a patient. I listen carefully, analyze deeply, and work toward the best solution. When mentoring, I approach with extra care, empathy, and patience.
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# ⚖️ My Work Ethic
- **Honesty first**: No false promises, no wasted time.
- **Client satisfaction matters most**: I only accept payment when clients are happy with the outcome.
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# 🔗 Find More Details
- **LinkedIn**: [linkedin.com/in/rctushar07](https://www.linkedin.com/in/rctushar07)
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# 🌟 Why Choose Me?
- **6+ years** in Full-Stack, Cloud & Data Engineering within the tech industry
- Contributed to **5 industrial projects**, collaborating within large teams
- **10 years of coding experience** and **2000+ competitive programming problems solved**
- **10 LinkedIn recommendations** from international clients & teammates
- **100+ aspiring professionals mentored** throughout my journey
- Featured as **Top Full-stack Python Developer** in Prog.AI Analysis
👉 [Prog.AI Feature](https://www.linkedin.com/posts/prog-ai-hiring_python-python3-javascript-activity-7296196512563257345-Fx11)
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# 🎯 What Do I Offer?
## 💻 Development Services
- **Web apps** using Django, Flask, FastAPI, React, NextJs
- **N8N Automation**
- **Cloud infrastructure development** & serverless apps
- Database design & **performance optimization**
- Troubleshooting & debugging with clear communication
- **Data Engineering** & ETL pipelines
- Web scraping, data collection, and visualization
- Data ingestion, processing, and transformation for analytics
- Workflow automation with **Python scripts**
- Custom **Python libraries** & reusable Django apps
- Third-party API integration (Stripe, social media, etc.)
## 👨🏫 Personalized Mentorship
- Guidance for college/university projects & assignments
- Short & long term mentorship on **backend, cloud, or data engineering**
- Live **1:1 resume review**
- Mock **DSA coding interviews**
- Code reviews with professional insights
- Project planning & management guidance (methodologies, challenges, team dynamics)
- Advice on handling **stress & challenges** at work (deadlines, communication, disagreements, etc.)
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Freelance Data Engineering Developer5.0 (3 reviews)
Senior Data Scientist with expertise in machine learning, natural language processing, information retrieval, and data engineering.
Extensive experience in developing advanced algorithms and solutions across various industries.
And, years of tutoring experience!
Freelance Data Engineering Developer5.0 (292 reviews)
Application Developer in a wide variety of business applications. Particularly interested in server side technologies.
Experienced in Java J2EE web application development including Content Management System (Alfresco), Portal Applications (Liferay and SharePoint).
Experience in interfacing different business application using middleware servers (BizTalk, SSIS).
Experience in Big Data Implementation using Spark, Scala, Hive, Hbase, and Pig.
Experience in various domain like banking (credit card application), media & entertainment, Logistic and manufacturing.
Specialties: Big Data Application implementation in Scala and spark using Horton works platform. Design and Implemented projects with data load up to 1 TB per hour with complex transformation.
Freelance Data Engineering Developer5.0 (263 reviews)
I am a Business Intelligence Consultant and Coach with over 20 years of experience in managing operations and implementing data-driven projects across multiple industries. My expertise spans Power BI, Tableau, Looker, business intelligence, project management, data analytics, and process optimization, ensuring organizations can leverage data for smarter decision-making.
➡️ CERTIFICATIONS:
♦ Microsoft Certified: Power BI Data Analyst
♦ Project Management Professional (PMP)
♦ Six Sigma Green Belt
♦ Scrum Master
♦ Scrum Product Owner
➡️ EXPERTISE IN:
♦ Power BI – Integrating, preparing, modeling, visualizing, analyzing, securing, and distributing data
♦ Business Intelligence – Data-driven insights, reporting, and automation
♦ Project Management – Waterfall & Agile methodologies
♦ Lean Six Sigma – Process optimization and efficiency improvements
♦ Data Mining – Extracting, transforming, and analyzing large datasets
♦ Dashboard Design – Creating interactive, real-time analytics solutions
➡️ TOOLS & TECHNOLOGIES:
♦ Power BI Desktop, Power BI Service, Power BI Report Server
♦ Microsoft Excel & Power Query
♦ SQL Server – Data connections & queries
♦ DAX for Big Data – Advanced calculations & analytics
♦ R Script & RStudio – Statistical analysis & predictive modeling
♦ RapidMiner – Machine learning & data mining
♦ Data Integration – Connecting, extracting, cleaning, and organizing data from various sources, including Google
♦ Automation – Streamlining workflows with Power BI dashboards and reporting solutions
Power BI Portfolio & Blog
🔹 Power BI Samples: https://links.edds.com.pk/powerbi-samples
🔹 Power BI Blog Posts: https://www.edds.com.pk/category/blog/bi/microsoft-power-bi/
📌 Long-Term Engagement Terms: https://1drv.ms/b/s!AkmOjWjLHddxhKVBJj0rfUcTPGZ2gw?e=11z3SG
20 year software engineer, 10 years engineering manager. Extensive experience in Javascript/React for coding mentorship. Mentoring for 15 years a mix of technical, leadership, and professional skills. I do this for fun on the side so I don't charge much.
https://www.dandigangi.com
https://linkedin.com/in/dandigangi
https://x.com/dandigangi
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Frequently asked questions
How long do Data Engineering projects normally take?
The length of a project depends on many factors, including the scope of your project and the technical complexity of it. When you post a freelance Data Engineering project request on Codementor, you’ll have the option to indicate when you’d expect the project to be completed. We suggest chatting with the interested developers to ensure both sides are on the same page. For more information on how to post a freelance Data Engineering request on Codementor, check out our article.
How much does it cost to hire a freelance Data Engineering developer?
We don’t charge anything when you post a freelance hiring request for Data Engineering developers! You’ll have the chance to determine what the budget for your project is when you post the request. You’ll only need to pay the developer if you’re 100% satisfied with their work. Please know that Codementor charges a small service fee when a developer completes the job.
What makes Codementor Data Engineering developers different?
We do a comprehensive technical and communications screen of all Data Engineering developers at Codementor. Our network includes book authors, popular open source contributors, top Stack Overflow users and engineers at top tech companies. In addition, to continually ensure the quality of our freelancers, we regularly check in on existing Data Engineering developers’ user satisfaction rates.
What happens if I’m not happy with the freelancer’s work?
As a platform, we strive to ensure you’re always happy with your Data Engineering project’s results. If you’re unsatisfied with the results, you can choose to get a refund for the project. Additionally, you can contact our support team should you need any further assistance with your project.
For more answers to frequently asked questions, see here.
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