Hire Vetted Data and Analytics Engineers at Upstaff
- Dedicated Full-time commitment for long-term or Time& Material for shorter or ongoing support
- Europe, Israel, LatAm, United States, Asia geography coverage
- Remote and hybrid engagement
- Trial period, no termination fees or hidden costs for transparent and risk-free onboarding.
- 10+ years of experience in web development, M.Sc in Software Engineering, GAI, LLMs.
- Back-End: Node.js, Next.js, TypeScript , PHP, Java (Basics).
- Front-End: JavaScript & TypeScript (React, Angular, Vue.js).
- Mobile: React Native.
- AWS Cloud infrastructure, Lambda/Serverless, SNS/SQS Queues.
- Control systems (e.g., Git) and familiarity with DevOps practices for continuous integration and deployment (CI/CD).
- Unit testing, integration testing, and end-to-end testing.
- Experience leading and mentoring a team of developers, including assigning tasks, providing guidance, and ensuring the team's success. Conducting assessments and interviews remotely. Ability to motivate and inspire team members, resolve conflicts, and provide constructive feedback.
- 9 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer
- Built and optimized production-grade PySpark pipelines handling millions of records, including complex transformations, joins, aggregations, and backfills, with a strong focus on performance and data quality.
- Automated Web scraping (Beautiful Soup and Scrapy, CAPTCHAs and User agent management)
- Data QA, SQL, Pipelines, ETL
- Data Analytics/Engineering with Cloud Service Providers (AWS, GCP)
- Extensive experience with Spark and Hadoop, Databricks (hands-on with Spark-based pipelines deployed in cloud environments and have used Databricks as the execution and collaboration layer: jobs, notebooks, cluster configs).
- 7 years of experience working with MySQL, SQL, and PostgreSQL;
- 5 years of experience with Amazon Web Services (AWS)
- Google Cloud Platform (GCP): BigQuery, GCS, App Engine, data pipelines, and Azure (basic knowledge)
- Data Analytics/Engineering services, Kubernetes (K8s)
- 5 years of experience with PowerBI
- 4 years of experience with Tableau and other visualization tools like Spotfire and Sisense;
- 3+ years of experience with AI/ML projects, background with TensorFlow, Scikit-learn and PyTorch;
- Extensive hands-on expertise with Reltio MDM, including configuration, workflows, match rules, survivorship rules, troubleshooting, and integration using APIs and connectors (Databricks, Reltio Integration Hub), Data Modeling, Data Integration, Data Analyses, Data Validation, and Data Cleansing)
- Upper-intermediate to advanced English
$8500/month
- Full-Stack Engineer with 10 years of experience building and scaling web and SaaS products across fintech, edtech, martech, crypto, energy, and AI-driven domains.
- Skilled in JavaScript, TypeScript, and Python, with hands-on experience in frontend development using React, Next.js, and Vue.js, and backend development with Node.js, NestJS, Express, and Python-based frameworks.
- Designed and implemented system architectures for complex platforms, including distributed systems, microservices, real-time applications, and API-driven products with PostgreSQL, MongoDB, Redis, ClickHouse, and Elasticsearch.
- Led full-cycle development of high-load platforms such as crypto trading systems, communication automation tools, educational video platforms, and SaaS products, from requirements and architecture to production launch and scaling.
- Integrated AI and machine learning components into production systems using OpenAI APIs, LangChain, FAISS, PyTorch, and other AI tooling for personalization, automation, and content generation.
- Built and maintained infrastructure using Docker, Kubernetes, Terraform, and CI/CD pipelines, working extensively with AWS and Google Cloud environments.
- Experienced in technical leadership, including frontend architecture ownership, mentoring engineers, hiring, and organizing engineering teams across multiple projects.
I am a senior software architect and blockchain automation engineer , with over 20 years of professional development experience and 4+ years dedicated to crypto, trading bots, WebSocket systems, and SaaS automation platforms.
My career spans enterprise systems, mobile applications, cloud analytics, authentication infrastructure, and large-scale data platforms — evolving into high-performance blockchain automation and bot engineering across Solana and Ethereum ecosystems.
I specialize in building:
- Real-time token tracking systems
- Telegram trading bots
- Solana Token Bundling, Deployment and tracking platforms,
- Rug detection & dev-sell intelligence
- MongoDB-driven analytics platforms
- Event-driven SaaS backends
All systems are designed for 24/7 uptime, restart persistence, and real trader usage — not prototypes.
Core Expertise
Blockchain & Crypto
- Solana Web3.js
- Ethereum (EVM)
- Pump.fun SDK
- Token metadata indexing
- Market cap & liquidity tracking
- Dev-sell detection
- Rugpull analysis
- ATH / ROI analytics
- Wallet behavior monitoring
Bot & Automation Systems
- Trading bots
- Token sniper trackers
- Telegram bots
- Volume simulation bots
- Alert engines
- Subscription lifecycle managers
Real-time ranking systems
Software Engineer with expertise in competitive programming, solving 1000+ problems on LeetCode/Codeforce, and demonstrated experience in architecting full-stack applications. Proficient in backend development with Python and Node.js, also skilled in mobile app development using Flutter. Track record includes developing high-performance RESTful APIs that handle 50K+ daily requests and implementing scalable FastAPI backends. Bachelor of Science in progress with a focus on software architecture, AI/ML systems from Adama Science and Technology University. Achievements include ranking 8th in ETCPC National Finals among 200+ teams and excelling in core programming languages and software development methodologies.
Software engineer with 5 years of experience, excelling in Python/Django backend development and cloud-ready API creation. Proven track record includes architecting a One-Time Setup wizard for Adagrad AI that slashed deployment time by 95%, and designing a SaaS automation platform at Ascent Wellness & Pharma that saved $4,000 monthly and cut manual workflows by 70%. Skilled in advanced databases and cloud operations, with effective system design showcased by the development of a real-time analytics platform that won 3rd place in Maruti Suzuki’s innovation challenge. Holds a Bachelor's degree in Engineering and is proficient in Python, SQL, Django, FastAPI, and a suite of tools and technologies pivotal to modern software development, including Docker, RabbitMQ, and PostgreSQL. Recognized for innovation with awards such as Employee of the Quarter at Adagrad AI.