Hire Vetted Data and Analytics Engineers at Upstaff - Page 2

• 10+ years of ETL and data integration experience with batch and streaming integrations.
• 7 years of Databricks: Lakehouse, PySpark, Delta Lake, Unity Catalog, Workflows, batch/streaming pipelines, data processing and performance optimization.
• Power BI Pro (Desktop/Service) and Power Query experience, DAX knowledge.
• Skilled in SQL with Azure SQL Database/SQL Server, including data modeling and query optimization.
• Experienced with ADLS, Parquet (partitioning, compression, storage/read optimization), Azure Synapse Analytics/Notebooks, and Azure Data Factory, including building and maintaining data pipelines.

• Senior Full-Stack Engineer with 10+ years designing scalable SaaS platforms and agentic AI systems using Python, TypeScript, Node.js, and React.
• Expert in building tool-calling agents, RAG pipelines, and multi-step autonomous workflows leveraging LangChain, OpenAI, Claude APIs, and vector search.
• Proven track record in architecting robust backend services with FastAPI, PostgreSQL, MongoDB, and Docker, optimizing document processing time by over 50%.

• 10+ years in IT with expertise in OLTP, ETL, DWH, OLAP, and CI/CD pipelines using Azure DevOps.
• Skilled in architecting and migrating complex databases and data warehouses across Azure, GCP, and on-premises environments.
• Experience with Microsoft SQL Server, SSIS, ADF, Airflow, Python DAGs, and Git maintenance for large-scale data integration projects.
• Skilled in implementing AI-driven multi-agentic flows for data quality tests and code reviews, enhancing automation and reliability.
• Leadership in team mentoring, client collaboration, and delivering data solutions for high-profile clients including Big Four companies and startups.

• Senior Data Engineer with 7+ years in GCP & AWS multicloud platforms, specializing in BigQuery, dbt, and AI-integrated pipelines.
• Experience in cost optimization: reduced BigQuery and GCP expenses by 30%+ and 50%, saving $100k+/year.
• Expertise in Pulumi-based IaC, CI/CD pipelines, and multicloud observability.
• Developed custom fine-tuned AI models for automation and advanced analytics.
• Background in Python, SQL, cloud-native services, and data warehouse architecture.

• BI development background with expertise in Power BI Pro, complex DAX, Power Query, Azure Data Factory, Azure DevOps and CI/CD automation.
• Skilled in SQL, T-SQL, Azure SQL, and Microsoft SQL Server, including query optimization, scalable data modeling, and database engineering.
• Experienced in ETL and data integration, ADLS, Azure Synapse Analytics and Databricks, including data pipelines and notebooks.
• Experience with Parquet optimization, including partitioning and compression, with the ability to quickly deepen expertise.
• Background in data warehousing, stored procedures, triggers, SSIS, Apache Airflow and Microsoft Fabric.

• AI Engineer with 10+ years in .NET, specializing in LLM integration, multi-model AI agent platforms, and AI governance for high-liability domains.
• Expert in C#, .NET 8, Blazor, Azure, AWS, and microservices, delivering production APIs with sub-120ms response times at 150k+ daily requests.
• Architected AI-driven anomaly detection flagging 95% of fraudulent transactions and legal SaaS.
• Proficient in Clean Architecture, DDD, CQRS, SOLID principles, event-driven design, and prompt engineering with multi-provider LLM support.
• Experienced in cloud-native CI/CD pipelines, Docker multi-stage builds, Bicep IaC, and real-time messaging with SignalR, RabbitMQ, and Azure Service Bus.

• Expertise in AI/ML engineering with hands-on experience in LLM agents, prompt engineering, and AI-assisted development workflows using Python, LangGraph, LangFlow, and AWS Lambda.
• Proven track record delivering AI-driven automation solutions for financial auditing, supply chain forecasting, and autonomous driving projects.
• Strong background in computer science with MSc degree, deep learning research, and advanced skills in Python, FastAPI, PyTest, Git, and cloud technologies.
• Skilled in building scalable, version-controlled pipelines integrating multi-source data, with emphasis on reliability, performance tuning, and test coverage.

• Senior AI/ML & MLOps Engineer with 8+ years operationalizing ML systems across GCP, AWS, Azure, specializing in Python, Kubeflow, VertexAI, and SageMaker
• Architected multi-agent AI platforms reducing workflow turnaround by 45% and deployment cycles to under 2 hours via CI/CD automation
• Expert in scalable data pipelines using Apache Beam and Dataflow, achieving up to 47% runtime reduction and 40% faster model delivery
• Proven track record optimizing distributed training and inference, increasing accelerator utilization by 31% and cutting cloud costs by 28%
• Computer Science BSc with strong background in software design, containerization (Docker, Kubernetes), and production-grade ML infrastructure

• Machine Learning and AI Engineer with 5 years in LLM-based Document AI, RAG pipelines, and computer vision systems using Python, PyTorch
• Expertise in MLOps with Docker, Kubernetes, MLflow, DVC, and cloud platforms (AWS, Azure, GCP)
• Fine-tuning enterprise LLMs (LoRA/QLoRA), building vector search with FAISS, and integrating OCR (Tesseract, PaddleOCR) for multimodal document understanding.
• Strong background in data engineering and analytics using PySpark, SQL, Airflow, and visualization tools (Power BI, Tableau) to support ML workflows.
• Experience in trustworthy AI evaluation including robustness, hallucination analysis, latency benchmarking, and failure-mode diagnostics for reliable AI systems.

• Senior Software Engineer with 10+ years in cloud-native enterprise systems using Java, Spring, AWS, and Kafka.
• Expertise in AI-driven production workflows, combining Python-based multi-agent systems with AWS Bedrock and retrieval-assisted generation.
• Led reverse-engineering and migration of a 6-million-LOC legacy retail system to Java microservices with optimized performance.
• Proficient in DevOps automation using Terraform, Helm, ArgoCD, Jenkins, and Kubernetes (EKS), enhancing CI/CD pipelines and infrastructure management.
• Strong background in secure backend development, identity federation, and scalable distributed systems with domain-driven design and TDD methodologies.

• Senior Solutions Architect with 10x AWS and 4x Databricks certifications, specializing in scalable AWS data and AI architectures including lakehouse, GenAI (Amazon Bedrock), and ML pipelines.
• Skilled in Python, SQL, Spark, and cloud-native tools: AWS Glue, Redshift, Athena, EMR, SageMaker, and Terraform for IaC automation.
• Extensive experience designing and delivering end-to-end data engineering solutions, migrating on-premises systems to AWS, and implementing CI/CD pipelines using AWS Code services.
• Background in distributed computing, big data ecosystems (Hadoop, Apache Iceberg), and enterprise databases (Oracle, PostgreSQL, SQL Server).

• 10+ years in AI engineering and data science, specializing in autonomous AI agents for cybersecurity, wealth management, and medical document processing.
• Expertise in Python, LangChain, Kubernetes, GCP (Vertex AI, BigQuery), MLflow, and Hugging Face for scalable ML/LLM workflows.
• Experience in reducing AI agent operational costs by 50× through architecture and prompt optimization.
• Led ML platform development for airfare pricing with real-time 24/7 support using TensorFlow, Dataflow, and Kubeflow.
• Skilled in Spec-Driven Development, agentic structured-data extraction, and multi-pass document processing with confidence scoring.

• 7 years in a Full-Stack Engineer role with experience in web apps (C#, ASP.NET Core, React, SQL), AWS, and Azure.
• Developed and maintained enterprise web applications for the healthcare industry for 4 years.
• Enterprise contact center platform for call recording analysis, quality assessment, and analytical data visualization - 1 year
• Expertise in microservices and micro-frontend architectures (Webpack Module Federation).

• Senior Software Engineer with 15+ years of experience building web applications and distributed systems with Python and JS/TS. Recent work includes AI agents, LLM workflows, streaming speech recognition, semantic retrieval, and multimodal search.
• 12 years of combined experience with Python, including Django, FastAPI, Kafka, RabbitMQ, PostgreSQL, Redis, and OpenSearch.
• JavaScript: React and Vue.JS (since 2019).
• Computer Science Diploma, National Technical University of Ukraine, Kyiv
• Developed multimodal computer vision pipelines and vector-based semantic search integrating DINO, CLIP, MagFace, and LangChain.

• Senior Full Stack Developer with 7+ years in enterprise and FinTech, specializing in React.js, Next.js, React Native, Node.js, Python, and FastAPI.
• Led scalable cross-platform apps and reusable component libraries, improving development efficiency and consistency.
• Expertise in AI-powered automation using LangChain, LangGraph, OpenAI API, and RAG for workflow optimization.
• Proven track record in agile environments, managing CI/CD pipelines, sprint planning, and cross-regional collaboration.
• Strong backend skills with PostgreSQL, MongoDB, REST APIs, WebSockets, and cloud platforms including AWS and Alibaba Cloud.

• Senior Full-Stack AI Engineer with 6+ years in Python, TypeScript, React, Next.js, FastAPI, PostgreSQL, and AWS.
• Expertise in LLM-based systems including RAG, semantic search, embeddings, and AI-powered document intelligence.
• Delivered 20+ REST/AI APIs, 15+ React/Next.js modules, and deployed 6+ production environments with CI/CD and Docker.
• Led AI platform development processing 1M+ pages and multimodal data ingestion for enterprise knowledge retrieval.
• Computer Science graduate with proven impact on AI hyper-personalization and large-scale SaaS platforms.

• Expertise in AI education and generative AI tools, facilitating practical training for diverse audiences.
• Proficient in live streaming workflows, digital media production, and AI-powered content creation.
• Skilled in managing digital media operations and leading teams in high-pressure live broadcast environments.
• Experience integrating emerging AI technologies into digital content strategies to enhance engagement.
• Background in Chemistry Technology with additional training in Radio and Television Broadcasting Technology.

• Cloud Engineer with 4+ years architecting multi-cloud solutions (AWS, Azure, GCP) supporting 23M+ users and 1,200+ microservices with 99.99% uptime.
• Expert in Infrastructure as Code (Terraform, Bicep), Kubernetes (EKS, AKS), and CI/CD pipelines, reducing deployment times by up to 85%.
• Skilled in cloud security, compliance (SOC 2, PCI-DSS, GDPR), and FinOps, achieving 25% cost savings and improving security posture from 72% to 92%.
• Proficient in Java, Spring Boot, Python, and containerization, delivering scalable, secure microservices and APIs with 99.95% transaction reliability.
• Reducing MTTR by 35% and incident detection by 60%.

• Mechatronics Engineer and Data Scientist with 4+ years in engineering data analytics, predictive modeling, and industrial operations.
• Expertise in Python, R, SQL, AWS, LangChain, Pinecone, and Power BI for scalable ML and data pipeline solutions.
• Delivered 70% reduction in manual reporting via automated ETL and real-time construction monitoring platforms.
• Developed RAG-based retrieval assistants and XGBoost risk prediction systems with 0.98+ recall deployed on AWS Lambda.
• Strong foundation in sensor/SCADA telemetry, time-series analysis, and engineering design using SolidWorks and MATLAB.

• 3.5 years in fintech and regulated banking with expertise in SQL, Python, and data governance.
• Engineered MBR SQL reporting framework processing 55K+ on-chain transactions, adopted as single source of truth for leadership.
• Developed fraud detection pipeline normalizing multi-account wallets across 4 chains, preserving revenue integrity.
• Automated Finance data validation reducing manual effort by 60%, achieving zero post-production defects across 3 UAT cycles.
• Skilled in Power BI, Apache Superset, cohort analysis, unit economics, and Agile methodologies driving data-driven decision making.

Developed scalable Node.js/TypeScript backend applications and REST APIs for production environments.

Built modular NestJS services and microservice architectures to support growing application workloads.

Optimized database queries, API performance, and backend processes to improve reliability and response times.

Integrated third-party APIs, authentication systems, caching, and automated deployment workflows.

Improved code maintainability through clean architecture, reusable components, testing, and strong TypeScript practices.

• Software Architect with 10+ years in designing scalable AI-driven backend systems, specializing in Generative AI, LLMs, and RAG pipelines using LangChain and Weaviate.
• Expertise in cloud-native deployments on AWS Bedrock, Azure OpenAI, Kubernetes, and MLOps with CI/CD pipelines using Docker, CircleCI, and GitHub Actions.
• Led architecture and implementation of AI-powered healthcare apps automating IVR call systems and gift card backend platforms with Kafka, Redis, and microservices.
• Skilled in monitoring and observability using Grafana, Prometheus, and OpenTelemetry to maintain production-ready AI systems and ensure high performance.

• Expert in designing scalable systems with dark/light modes and auto-layout precision for SaaS and AI platforms.
• Proven track record in building complex, data-dense dashboards and AI-powered middleware systems that enhance operational efficiency and eliminate downtime.
• Skilled in creating developer-ready deliverables including pixel-perfect handoffs, interactive prototypes, and detailed UI logic specifications.
• Experience in automating workflows such as OAuth token lifecycle management and AI-driven data ingestion triage, ensuring zero service disruptions and data integrity.
• Strong focus on bridging product strategy with high-conversion UI execution, specializing in enterprise AI platforms.

• Founding design engineer with 6+ years in product design and full-stack delivery specializing in AI-native products and LLM integration.
• Expertise in React, Next.js, TypeScript, Golang, Python, Flutter, Tailwind, and AI tools like OpenAI API, Genkit, and Transformers.js.
• Led AI chat feature at KW Berlin with 4M+ MAU, driving 100-min user sessions and $30k/week projected revenue via A/B testing and MDE analysis.
• Built and launched dramance.app solo, an AI-powered interactive visual novel platform with end-to-end system architecture and monetization design.
• Skilled in design systems (Figma tokens, auto-layout), and UX methodologies including CJM, SUM, and A/B testing with MDE.

• Senior AI/ML Engineer with 5+ years deploying generative AI and ML systems using GPT-4, Claude 3, LLaMA, and LangChain.
• Expertise in Python backend development (FastAPI, Django) serving LLMs and ML models with scalable cloud deployment on AWS, Azure, GCP.
• Built enterprise RAG platforms with hybrid retrieval (FAISS, Neo4j) and multi-agent orchestration reducing hallucinations and improving LLM output quality.
• Developed AI pipelines for sales enablement, GDPR compliance, semantic multimodal search, and predictive modeling using PyTorch, TensorFlow, LightGBM, and CatBoost.

EDUCATION & CERTIFICATIONS

• Matric certificate (high school)
• TEFL Level 5 Certified
• First aid certification
• CPR certification

• Experienced HR & Administrative Specialist with expertise in managing large teams and optimizing staff performance in technical and operational environments.
• Proficient in data analytics tools including Excel, Power BI, SQL, and Tableau, enhancing decision-making and reporting accuracy.
• Skilled in logistics planning, personnel management, and customer service within diverse sectors including education and government.
• Certified in Human Resource Management and Hospitality Industry training, with a strong foundation in Science Education (Biology).
• Demonstrated ability to implement efficient administrative processes and support large-scale volunteer coordination and training programs.

• Lead Full-Stack Engineer with 12+ years in distributed systems, AI-driven platforms, and payment ecosystems.
• Expert in event-driven microservices, multi-tenant SaaS, and secure fintech transaction processing.
• Proficient in Typescript, Node.js, React, AWS, Kafka, and AI integrations including LLMs and agentic workflows.
• Architected scalable real-time systems with WebSockets and built AI automation for KYC, risk management, and customer support.
• Strong background in system architecture, prompt engineering, and delivering complex, high-load applications in fintech and iGaming domains.

• Data Analyst and Software Engineer skilled in Python, SQL, Power BI, and modern web technologies (JavaScript, HTML, CSS) for data-driven solutions.
• Experienced in exploratory data analysis, building responsive software, and creating impactful graphic designs for branding.
• Proficient in Microsoft Excel and computer graphics design, integrating technical and creative skills to enhance decision-making.
• Strong background in data visualization and software development best practices, delivering efficient and scalable products.
• Committed to continuous learning and applying innovative methodologies to solve complex real-world problems.

• Full-Stack Software Engineer with 7+ years delivering end-to-end web applications using React, Next.js, Vue, NestJS, Django, and FastAPI.
• Expertise in database schema design and optimization with PostgreSQL, MongoDB, MySQL, and Redis.
• Proven experience integrating LLM APIs (OpenAI, Anthropic, LangChain) and building multi-agent AI automation systems reducing manual workload by 70%.
• Skilled in REST API, OAuth 2.0, JWT authentication, RBAC, multi-tenancy, and event-driven architectures.
• Strong background in DevOps with CI/CD, Docker, Kubernetes, AWS, GCP, and automated testing for scalable deployments.

• 14+ years architecting and deploying scalable AI chatbots and multi-tenant web platforms, automating 80%+ client support inquiries and supporting 10M+ monthly users.
• Expertise in Python, PHP, JavaScript/TypeScript, with advanced use of frameworks like Django, FastAPI, Laravel, React.js, and React Native for full-stack development.
• Proficient in AI tools including Rasa, Dialogflow, LangChain, OpenAI APIs, and vector databases, delivering HIPAA-compliant healthcare and fintech solutions.

• Senior Full-Stack Engineer with 10+ years designing and deploying scalable SaaS platforms and agentic AI systems using Python, TypeScript, Node.js, and React.
• Expertise in building multi-step autonomous workflows, tool-calling agents, RAG pipelines, and LLM evaluation harnesses leveraging LangChain, OpenAI, Claude APIs, and vector search technologies.
• Holds a Bachelor of Computer Science degree, with extensive experience in software development lifecycle, prompt engineering, agent orchestration, and advanced AI-driven enterprise solutions.