Hire Vetted Data and Analytics Engineers at Upstaff - Page 1

- 12+ years of experience in IT, with 12+ years in Data Engineering and Data Architecture, including Oracle Databases, Data Warehousing, Big Data, and real-time streaming systems; - Experience in designing and maintaining enterprise Data Warehouses, leading cloud migration initiatives across Azure, AWS, and GCP; - Strong architectural expertise in ETL/ELT pipelines, batch/real-time processing, and data governance/quality frameworks; - Deep knowledge of Big Data ecosystems (Cloudera, Hadoop, Databricks, Synapse Analytics, HDInsight, AWS EMR); - Skilled in multi-cloud architecture design using Snowflake, DBT, Cosmos DB, Redshift, BigQuery, Athena, and Data Lake solutions; - Experienced in data streaming and integration with Apache Kafka, Apache Spark, PySpark, and Airflow; - Expertise in BI and reporting systems with Power BI and Tableau for data visualization and analytics delivery; - Strong foundation in database administration and security: Oracle EBS R12, RAC/ASM, WebLogic, SOA Suite, ERP systems, database audits and compliance; - Certified in Azure Data Engineer, AWS Data Analytics Specialty, Confluent Kafka, Oracle DBA.

• 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

Experienced IT professional with more than ten years of expertise in Cloud Systems, DevOps, Machine Learning and MLOps practices. Pavlo specializes in building scalable and reliable ML pipelines, optimizing models for real-world use, and managing full lifecycle of machine learning projects. Pavlo's technical skills include TensorFlow, PyTorch, Kubernetes, Kubeflow, Terraform, Python, as well as cloud platforms and services such as AWS SageMaker and Azure Cognitive Services.

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5+ years in Data Science - 5+ years in Financial Forecasting Systems - Master of Statistics and Probability Theory (diploma with honors), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting - Engineering, Understanding AI and LLMs

- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills (SQL, Airflow). - 6+ years of experience with Tableau (Certified Tableau Engineer) - Experience in Operations analysis, building charts & dashboards - 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results. - Adept with different SDLC methodologies: Waterfall, Agile SCRUM - Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced) - Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis - AWS, Redshift - Combined expertise in data analysis with solid technical qualifications. - Advanced English, Intermediate German - Location: Germany

- DevOps/Cloud Architect with 10+ years of experience in DevOps, Cloud, and MLOps engineering; - Led large-scale projects including Hadoop-to-AWS OLAP migration, cutting operational costs by 25% and improving system performance; - Expertise in Kubernetes-based microservices architectures, AWS Fargate, and high-availability designs achieving 99.99% uptime; - Experience in multi-cloud (AWS, GCP) and hybrid on-prem/cloud adoption; - Skilled in containerization and orchestration with Docker, Kubernetes, and OpenShift; - Advanced in Infrastructure as Code (Terraform, Helm, Ansible) and GitOps/CI/CD automation (GitLab CI, GitHub Actions, ArgoCD, Jenkins); - Delivered automated CI/CD for serverless apps with AWS SAM, reducing deployment time from hours to 20 minutes; - Experienced in MLOps with AWS Sagemaker and Kubeflow, building end-to-end ML workflows; - Skilled in DevSecOps, implementing RBAC, Secrets Manager, SAST/SCA scans, reducing vulnerabilities by 50%; - Skilled in cloud networking, storage, and big data systems (Spark, Hadoop, EMR, Kinesis); - Expertise in Python, Go, Java, and Bash for automation and integration; - Experience of technical leadership, mentoring engineers, and guiding 50+ developers in Kubernetes/Docker adoption; - Experienced in architectural design, Cloud as Code initiatives, and cross-team collaboration; - Certified Kubernetes Administrator (CKA), AWS Solutions Architect, and GCP Professional Cloud Architect.

- 10+ years in AI/ML & Data Science, high-performance systems, 10+ years in DevOps and 5+ years in MLOps; - Expertise in Python, Asyncio, Aiohttp, Redis, PostgreSQL, Neo4j, ElasticSearch, and cloud platforms (AWS, GCP, Azure); - Experience with high-load environments, Redis queues, custom assemblies, and data isolation in production-ready systems; - Skilled in Active Directory integrations, NLP, similarity engines, and AI-driven architectures, with focus on context engineering, summarization, and agentic RAG pipelines (LlamaIndex, Quadrant, IntentRouter); - Experienced with both text and voice AI models (speaker identification, speech-to-text) and ontology-driven algorithms (PCA, classifiers, semantic understanding from scratch); - Knowledge of AWS services (S3, EC2, Fargate, EKS, Bedrock pipelines), Kubernetes, CI/CD automation, and cloud migrations (AWS to GCP); - Passion for NLP, AI, and similarity engines, with preference for applied AI/ML approaches over purely statistical methods; - Experienced leadership in R&D and engineering management, delivering production-ready AI/ML solutions in defense, search, and semantic platforms.

- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation - 16+ years experience with data-driven projects - Strong background in statistics, machine learning, AI, and predictive modeling of big data sets. - AWS Certified Data Analytics. AWS Certified Cloud Practitioner. Microsoft Azure services. - Experience in ETL operations and data curation - PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake - Big Data Fundamentals via PySpark, Google Cloud, AWS. - Python, Scala, C#, C++ - Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.

Data Science engineer with over 3 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person, focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.

Software Engineer with proficiency in data engineering, specializing in backend development and data processing. Accrued expertise in building and maintaining scalable data systems using technologies such as Scala, Akka, SBT, ScalaTest, Elasticsearch, RabbitMQ, Kubernetes, and cloud platforms like AWS and Google Cloud. Holds a solid foundation in computer science with a Master's degree in Software Engineering, ongoing Ph.D. studies, and advanced certifications. Demonstrates strong proficiency in English, underpinned by international experience. Adept at incorporating CI/CD practices, contributing to all stages of the software development lifecycle. Track record of enhancing querying capabilities through native language text processing and executing complex CI/CD pipelines. Distinguished by technical agility, consistently delivering improvements in processing flows and back-end systems.

- 7 years of commercial experience with Tableau - 8 years of experience as a BI Consultant, providing data visualization expertise in Tableau, Power BI, Python, SQL - Created visually compelling and interactive Tableau dashboards for clients in the real estate domain in the US - Upper-Intermediate English

* 25 years in Israel high-tech (Video, Streaming) , 5 years with Cloud Gaming (Electronic Arts) * Scalable Video Streaming among LEO satellites (research project of Ben Gurion University) * Cloud Gaming: encoding, decoding, low latency streaming (e.g. RTP/SRT), error resilience etc. * Video Codecs: Subcontracting with Visionular on improving coding efficiency of its own HEVC encoder. * Subcontracting with DSP-IP - military projects * Video optimization and hevc codec development (Beamr Imaging) * Python Programming: development automated testing systems (CI), proofs of concept, computer vision with packages cv2 and cvlib. * Artificial Intelligence: genetics/evolutionary optimization of video codec parameters, facial expressions detection with CNN. * 360/VR: subcontracting with Texel (texel.live) - tiled streaming Computer Vision: OpenCV (including python cv2). * NVIDIA/AMD products: evaluation and modification hw encoders: Tesla T4, A40) of NVIDIA and Navi21 of AMD. * and several technical papers and several technical papers

- 5 years of commercial experience with PowerBI and Tableau - 4 years of commercial experience with SQL - Prepared a comprehensive analysis of the US real estate market with Spotfire - Assessed data quality from sources that contained tens of thousands of customer and transaction data, by using SQL in Azure SQL Database - Employed data-driven techniques to develop RFM analysis, and create interactive dashboards for customer trend visualization and high-value business proposals - Upper-Intermediate English

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

Expert Data Engineer with 6+ years of professional experience, specializing in DataOps and DevOps, with a master's degree in Industrial Analytics from Uppsala University. Proficient in building scalable data pipelines using a variety of technologies including Snowflake, AWS, Lambda, PySpark, and Kafka, evidenced by success in event-driven pipeline creation and real-time data ingestion projects. Skilled in automating deployment using Ansible and GitHub Actions, and in data transformation with a focus on automation and efficiency. Accomplished in data analysis and visualization, utilizing tools such as Power BI, DAX, and Power Query. Possesses strong programming skills with extensive use of Python, and experience in database support with expertise in SQL. Demonstrated ability to develop IoT solutions, engage in network engineering, and apply advanced Linux administration techniques.

Software engineer leveraging robust academic foundation in Computer Science with hands-on experience in Flask, Python, and Django to build scalable web applications. Proven track record in deploying high-traffic websites leveraging advanced Django framework. Strong comprehension of software development life cycle principles, ready to contribute to cutting-edge technology projects.

Software engineer with close to 3 years of experience specializing in AI automation, proficient in Python programming, and experienced in backend systems and workflow automation. Holds a partially completed Bachelor's degree in Business/Commerce with an expected graduation date of March 2026. Demonstrated history of working as a self-employed AI Automation Specialist since March 2023, focusing on data analysis and automation solutions. Notable for applying modern software development practices to optimize operations and improve efficiency.

- 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.

Software Engineer with over 10 years of experience, specializing in AI and full-stack development, demonstrating a strong foundation in computer science with a B.Sc. from the University of Illinois at Chicago. Expert in Python, C#, JavaScript, and cloud technologies such as AWS, Docker, and Kubernetes. Skilled in machine learning frameworks including TensorFlow and PyTorch, further evidenced by AWS Certified Machine Learning and TensorFlow Developer certifications. Proficient in deploying scalable web systems and integrating AI models into high-throughput environments, with a proven track record of enhancing model accuracy and system performance in production-grade systems.

Seasoned Backend Engineer with over 5 years of experience specializing in Golang, adept at constructing scalable microservices and REST APIs. Demonstrated expertise in concurrency patterns and system design, backed by a strong computer science foundation with a B.E. in Computers achieving a 9.18 CGPA. Proficient in a wide array of technologies, including Go 1.18+, Gin, gRPC, PostgreSQL, and AWS cloud services, complemented by a hands-on background in DevOps practices like Docker and Kubernetes. Significant contributions to projects like a facilities management platform, industrial data management system, and e-commerce platforms, showcasing skills in optimizing database performance and developing high-performance APIs with sub-100ms response times. Embraces agile methodologies and has a proven ability to mentor other developers and lead technical initiatives.

Seasoned Data Engineer with over 6 years of industry experience, specializing in the development of robust ETL pipelines, real-time streaming solutions, and advanced data architectures. Outstanding proficiency in Python, PySpark, Kafka, AWS services, Databricks, and Airflow. Demonstrated expertise in automating data workflows, optimizing data models for analytics, and managing data migrations with minimized disruption. Adept at deploying scalable cloud-based data warehousing solutions and enforcing high standards of data quality.

Software Engineer with 3.5 years of experience in Data Engineering, specializing in ETL and Data Migration solutions. Expert in Azure Data Factory, PySpark, SQL, and Azure Databricks. A proven track record in data pipeline automation, improving data processing workflows, and implementing sound data management practices. Holds a Bachelor of Technology with a strong academic background, and an Azure Data Fundamentals certification from Microsoft. Key skills include technical fluency in data warehousing, cloud services, and software development methodologies like CI/CD. Recognized for reducing compliance errors by 35%, decreasing data retrieval times by 40%, and enhancing reporting capabilities in complex business environments.

Senior AI/ML Engineer with over 6 years of experience, specializes in LLM pipelines and generative AI. Demonstrates strength in designing high-performance machine learning algorithms and implementing scalable AI solutions. Proficient in FastAPI, AsyncIO, and Python, with deep knowledge of Pandas, NumPy, and AI/ML technologies like TensorFlow and LangChain. Has successfully deployed complex ETL pipelines and cloud infrastructure, ensuring robust data processing and delivery. Holds advanced certifications and a proven track record in AI project delivery, consistently improving operational efficiencies and business intelligence.

Data Engineer with extensive experience in developing data-driven solutions, leveraging Python, SQL, and ETL/ELT methodologies. Proven track record in optimizing data pipelines and implementing large-scale data warehouses, evidenced by the successful analysis of AirBnB rental prices and product sales strategies. Skilled in Big Data technologies like PySpark, Databricks, and MongoDB, as well as report generation and visualization using Power BI. Holds professional certifications from DataCamp and Microsoft, demonstrating a strong foundation in data fundamentals and Azure services. Played a pivotal role in deploying an LLM powered chatbot at Cisco. Contributed to an increased efficiency and automated processes as a freelance engineer, bringing innovative solutions that enhance operational performance.

Software engineer with extensive expertise in Python, Django, and AI/ML integration, adept at developing high-performance, scalable solutions. Significant experience in AI model training, data validation, and physics-based simulations, contributing to innovation in AI-driven applications. Strong background in data analysis and visualization using tools like Tableau and Looker Studio. Proven success in mechanical systems design and optimization. Holds a B.Sc. in Business Administration and a suite of technical certifications, including HackerRank problem-solving and Python programming. Over a decade of professional experience, offering a rich blend of technical prowess, analytical acumen, and project management skills.

Software Engineer with hands-on experience in AI training and software development. Proficient in Python, Java, C++, JavaScript, PHP, and MySQL. Skilled with TensorFlow, Scikit-Learn, and PyTorch. Master's and Bachelor's degrees in Software Engineering and Intelligent Systems from Kirinyaga University. Developed an AI-augmented code optimization framework and an academic performance predictor using ML techniques. Strong background in full-stack system development, machine learning model evaluation, dataset annotation, and software engineering research.

Experienced Senior Machine Learning Engineer with over 8 years in AI research and system architecture, developing and scaling AI systems and machine learning models for use in retail, conversational AI, and writing assistance platforms. Distinguished for leading multidisciplinary teams and aligning AI with business strategies, achieving substantial performance improvements and cost savings. Proficient in AI/ML (e.g., deep learning, reinforcement learning, computer vision), data pipeline design, and MLOps (e.g., Kubernetes, Docker), with a strong background in full-stack engineering (Python, C++, Go, Node.js, React) and cloud platforms (AWS, GCP, Azure). Holds a Master's degree in Artificial Intelligence from New York University, complemented by a Bachelor's in Computer Science, validating comprehensive expertise in algorithmic research, technical publications, and significant contributions to domain-specific AI applications.

Senior Machine Learning Engineer with a decade of experience, excelling in AI/ML systems, MLOps, and infrastructure scalability. Proven capability in deploying models on edge devices, creating efficient cloud pipelines, and ensuring production-readiness with advanced monitoring solutions. Technical adeptness spans across Python, C++, and cloud platforms (AWS, GCP, Azure), with hands-on expertise in frameworks like PyTorch, TensorFlow, ONNX, and Kubernetes for model deployment and orchestration. Holds a solid educational background with a Master's in Mathematics and Computer Science from USC and a Bachelor's in Computer Science from Tsinghua University. Demonstrates a strong record of achievements in optimizing computer vision models for retail, designing decentralized ML infrastructure, implementing scalable AI pipelines, ensuring system reliability, and advancing sales analytics & forecasting methodologies.

A seasoned Senior Software & Machine Learning Engineer with extensive experience in backend engineering, AI/ML, and data engineering. With a decade of professional involvement, the engineer boasts a deep understanding of distributed computing and database design, having worked with technologies like .NET, Python, Spark, and Kubernetes. Education includes a BSc in Computer Science & Artificial Intelligence, reinforcing a solid foundation in modern engineering principles. Holds a proven track record of implementing intelligent systems, such as conversational AI platforms and deep learning models, that have significantly improved user engagement and reduced operating costs. The engineer's technical acumen is further highlighted by expertise in full-stack development, including the use of React, Svelte, and Angular, and in creating robust cloud-based solutions leveraging AWS. This combination of practical experience and education makes the engineer a standout candidate for driving innovation and efficiency in complex software environments.

Proven Software Engineer with robust academia in Intelligent Systems & Software Engineering, adept in Python, Java, and AI/ML technologies. Offers hands-on experience in AI model training and software development, with expertise in algorithm optimization and system design. Noteworthy involvement in developing an AI-augmented code optimization framework and a performance predictor project during BSc. Combines technical prowess with data annotation and model evaluation finesse, poised to thrive in AI innovation.