Hire Vetted Data and Analytics Engineers at Upstaff - Page 4

Software engineer with a deep foundation in RDBMS design, including extensive experience in developing and bug fixing MySQL. Expertise in client-server protocols, lexical analysis, parsing, and SQL commands. Highly skilled in C and C++, with notable contributions like the MySQL++ API and software critical to the Mars Rover mission. Holds a BSc in Technology, with proficiencies in English, French, Italian, Greek, and Slavic languages. Recognized with numerous industry awards, including the 'MySQL Rock Star 2025'.

- 4+ years of experience as a Data Engineer, focused on ETL automation, data pipeline development, and optimization; - Strong skills in SQL, DBT, Airflow (Python), and experience with SAS, PostgreSQL, and BigQuery for building and optimizing ETL processes; - Experience working with Google Cloud (GCP) and AWS: utilizing GCP Storage, Pub/Sub, BigQuery, AWS S3, Glue, and Lambda for data processing and storage; - Built and automated ETL processes using DBT Cloud, integrated external APIs, and managed microservice deployments; - Optimized SDKs for data collection and transmission through Google Cloud Pub/Sub, used MongoDB for storing unstructured data; - Designed data pipelines for e-commerce: orchestrated complex processes with Druid, MinIO, Superset, and AWS for data analytics and processing; - Worked with big data and stream processing: using Apache Spark, Kafka, and Databricks for efficient transformation and analysis; - Amazon sales forecasting using ClickHouse, Vertex AI, integrated analytical models into business processes; - Experience in Data Lake migration and optimization of data storage, deploying cloud infrastructure and serverless solutions on AWS Lambda, Glue, and S3.

* Data Scientist with a Master’s Degree in Computer Science and extensive experience in machine learning, deep learning, and cloud services ( Azure,AWS and GCP). * 7 years of experience, proficient in building ML pipelines and deploying scalable solutions. * Developed and deployed a voice-to-voice pipeline for a call center VoIP system using Whisper, Llama, and MMS-TTS, including API integrations and Docker deployment. * Implemented a Google Doc AI Wrapper, improving document recognition accuracy through advanced preprocessing techniques. * Designed a deforestation detection system using clustering and Azure-based services to monitor forest areas.

- Experienced Machine Learning Engineer with Data Engineering skills - Experience in ensemble recommendation systems, customer behavior prediction, and recruitment insights, analytics, chatbots. - Experience in user retention, engagement, operational efficiency increase, enhancing stock turnover, forecasting accuracy, automated damage assessment models, and vehicle security through advanced ML models and BigData. - Worked with industries: insurance, finance, restaurants - Solid expertise with Big Data, Natural Language Processing, Computer Vision

- Senior Machine Learning Engineer with extensive experience in providing innovative machine learning solutions and automation. - Experience with ontology enrichment & transformation, Named Entity Recognition, recommendation systems, sentiment analysis - Experience with Data Engineering stack - Advanced skills in Python, Flask, FastAPI, Redis, Postgres, TensorFlow, PyTorch, Elasticsearch, Docker, and Hugging Face. - Proven track record in data analysis projects implementation.

Expertise in Python, SQL, and ML web applications with a focus on practical applications in fields like AI and computer vision. Proven track record in AI with projects at DeepLogic AI, including creating an ML Web app for classifying blastocyst embryos and implementing LLM for in-house document processing. Further experience includes feature extraction via PySpark at Tata Digital, and exploiting BERT for NLP tasks at Concentrix. Academically grounded with a Master's in CS from Columbia University and a BTech in Math/CS from Delhi University. Holds AWS accreditations, demonstrating proficiency in cloud architectures, EC2, S3, and RDS. Skilled in end-to-end software development, including full-stack abilities shown at Datacultr with Django and PostgreSQL.

Software Engineer with a comprehensive Computer Science education and 9 years of experience in Fin-tech, E-Commerce, and Investment domains. Technical proficiencies include Python, JavaScript, TypeScript, and Go, with notable expertise in backend frameworks like Django and Flask, and data engineering tools such as Apache Spark and Airflow. Experienced in cloud environments, particularly Azure and AWS, providing scalable data processing solutions. Strong DevOps skill set with Docker, Kubernetes, and CI/CD implementation ensuring robust deployments. Proven track record in projects that demand seamless backend development, efficient data pipeline construction, and cloud infrastructure automation.

Versatile Software Engineer with 9 years of experience, bringing a strong background in computer science, particularly in backend development, data processing, and cloud services. Specialized in Python and proficient with frameworks like FastAPI, Django, and Flask. Has engineered complex ETL pipelines, optimized databases including PostgreSQL and Redis, and implemented cloud solutions using AWS and Azure. Excelled in DevOps practices with tools such as Docker, Kubernetes, and Terraform. Demonstrated capability in building scalable, secure applications and services, evidenced by successful project delivery in domains such as e-commerce, human resources, and cybersecurity. With hands-on experience in Stripe payment systems and expertise in system integration, this candidate is equipped to tackle challenging roles in the tech industry.

The engineer boasts a robust technical background with 8 years of DevOps expertise, underpinned by a Computer Science and Software Engineering education, and a proficiency in English at B2 level. With a comprehensive mastery of cloud platforms including AWS, Azure, and GCP, the engineer has demonstrated advanced skills in infrastructure automation using Terraform, Ansible, and Kubernetes. Additionally, they hold a suite of certifications that include Azure Fundamentals, Administrator Associate, DevOps Engineer Expert, and Solutions Architect Expert from Microsoft. The engineer's project experience showcases a strong command of CI/CD processes, using tools like Azure DevOps and GitLab CI, and a deep understanding of containerization with Docker. They are also proficient in data engineering tools such as Kafka and experienced in monitoring and logging with solutions like Zabbix and Grafana. This amalgamation of hands-on project roles and technical acumen positions them as an exceptional candidate for complex, multi-cloud DevOps engineering roles.

As a passionate AI developer with a strong command over machine learning, data analytics tools, deep learning, Django, Flask, SQL, data extraction, and web automation, I have gained valuable experience through various roles. I have worked as a data analyst on contracts with an Indian MNC, making significant contributions. Additionally, I played a key role in a ship maintenance-based startup by providing a corrosion segmentation solution. Moreover, I have worked on RAG techniques and implemented personalised chatbot features using LLMs like ChatGPT using LangChain technology. I have successfully provided customers more than a million units of required data by implementing efficient data extraction methods.

- Certified Reltio technical consultant with over 9 years of strong experience in Master Data Management (MDM), specialized in Reltio MDM and Java. - Extensive experience in designing, architecting and implementing MDM solution using Reltio. - Designed and developed data ingestion, data quality, publish module, multiple data quality reports and custom utilities to support business requirements. - Have worked in different module of Reltio like Data Modeler, UI Modeler, Data Loader, Data Export, External Match and Reference Data Management (RDM) - Highly experienced in working with Reltio APIs, Postman and develop Java utilities using Reltio API to meet business custom requirements, automation and bug fixes. - Have experience in configuring Reltio entity, match and survivorship rules, validation rules. - Hands on experience in application development using Spring Boot, Sprint Data JPA, Mircoservice. - Have working knowledge of SQL and experience in data analysis and data profiling. - Was deeply involved in tasks like requirements gathering, code development, testing, deployment and operational support activities.

Software engineer with a robust track record in CRM development, specializing in marketing automation and data cleaning. Proficient in No Code & Low Code solutions, leveraging tools like Zapier and Make to enhance workflow efficiency. Demonstrated expertise in AI and machine learning, with hands-on experience in Python-based technologies such as TensorFlow and Keras. Key accomplishments include leading digital transformation initiatives and optimizing business processes. The engineer's technical skill set spans HTML5, CSS3, SQL, and Python, underpinned by a formal education in Audio Production and an incomplete BSc in Computer Science. Strong foundation in SDLC, REST API management, and performance monitoring that spans several years, exhibiting a talent for tech solutions that drive business growth.

An experienced Data Analyst with a background in Mechanical Engineering and Investment & Risk Finance, this engineer boasts over 6 years of experience in data analysis and project management. Key technical skills include expertise in Power BI, Excel, and SQL with a proven track record of producing automated sales management systems and dynamic reporting dashboards. Demonstrated ability to convert complex datasets into actionable insights and develop strategic roadmaps for non-commodity exports, showcasing strong analytical research competencies. Experience includes managing and implementing innovative projects within Kazakhstan's digital development and aerospace sectors.

An adept software engineer with significant expertise in AI technologies, focusing on Generative AI solutions for media companies. Demonstrates proficiency in DevOps methodology, with extensive experience in orchestrating CI/CD pipelines, cloud infrastructure, and MLOps from roles at top gaming and tech companies.Notable achievements include driving a 300% reduction in production time and up to a 200% increase in quality capabilities for AI projects.Experience extends over a decade, with strong proficiency in various programming languages and tools such as C#, Unity3D, Terraform, EKS, K8s, Helm, Docker, Linux, Jenkins, and Gitlab. Known for leading pivotal projects, displaying ownership, and training multilingual personnel while optimizing costs and resources in cloud deployments.

- Data Engineer with solid data pipelines, DWH, data lake architecture, development and optimization expertise on cloud platforms including Azure, GCP, and AWS. - Snowflake strong - advanced level - with a proven track record of automating ETL processes with multiple tools managing large-scale data warehousing, and enabling business intelligence through sophisticated analytics solutions. - Strong Python, Spark, Kafka, skills, - Experience creating datastore and DB architectures, ETL routines, data management and performance optimization - MSSQL, MySQL, Postgres. - In multiple projects, Vadym analysed and Improved operational efficiency, reduced data-related infrastructure costs, and delivered seamless data integration and transformation across systems.

- 10+ years of experience as a Business Analyst; - Strong skills with SQL, MySQL, XML, JSON, SOAP, REST, Figma, Lucidchart, Power BI; - Familiar with Camunda, Shell Scripts, MS Dynamics 365, and Atlassian Confluence; - Experience with Azure and SQL Server ecosystems; - Holds Oracle certification in Primavera P6; - Experience with UX, cyber security; - Deep skills in Agile methodology and PMI PMBOK principles.

- 3+ years of experience as a BI Engineer; - Strong abilities in Power BI, SSIS, Tableau, and Google Data Studio; - Deep skills in developing and optimizing ETL processes within business intelligence; - Experience with SQL, Python; - Familiar with Docker, Apache Airflow, and PySpark; - Good knowledge of data warehousing and business intelligence principles.

- Over 5 years of experience Senior Business Intelligence Analyst; - Experienced specializing in data visualization, analytics, and business process improvement; - Strong skills with Power BI and Tableau; - Experience in BI environments and creating interactive dashboards; - Strong technical R and Python; - Experience with MySQL, and PostgreSQL; - Holds certifications including Microsoft Certified: Azure Fundamentals and Power BI Data Analyst Associate.

- 20+ years of experience in Software development; - Strong skills in data engineering and cloud architecture; - Experience with encompasses cloud platforms AWS and Azure; - Deep abilities in Big Data technologies Databricks, Hadoop; - Experience with Python, MySQL, PostgreSQL and SQL; - Good knowledge of CI/CD implementation; - Holds certifications such as AWS Certified Solutions Architect and Microsoft Certified Azure Data Engineer Associate; - Experience with ETL; - Knowledge of designing scalable data solutions, leading cloud migrations, and optimizing system performance.

Seasoned Marketing and Sales professional with a demonstrated history in behavioural management systems training and team leadership in Brazil. Proven capabilities in sales strategy development, KPI management, and team expansion from 8 to 24 representatives. Notable achievements include a 20% increase in monthly sales and a spike in qualified leads. Skilled in HubSpot CRM implementation and proficient in PowerBI, with a strong background in process optimization and data analysis. Currently expanding expertise in business studies while gaining international experience in the Irish retail and food service sectors.

Background in NetSuite/ERP, UiPath/RPA, and Celigo/Boomi/iPaas. Leveraging expertise in these technologies, implemented and optimised complex systems to streamline operations, enhance productivity, and drive business growth.Understanding of business processes, excel in analysing requirements, designing efficient solutions, and leading end-to-end implementation projects.Proficiency in integrating diverse systems and automating repetitive tasks through UiPath/RPA has resulted in significant cost savings and improved operational efficiency.Proficiency in Celigo/Boomi/iPaas enables seamless data integration and synchronisation, facilitating real-time insights for informed decision-making.Committed to delivering high-quality results, possess problem-solving skills, attention to details, and a collaborative approach that fosters effective teamwork.Track record of success, ready to contribute expertise to drive digital transformation and optimize business processes for organisations.

- Full-stack iOS Developer with over three years of experience, specialized in Swift, Python, and Xcode, with a successful track record of designing, developing, and launching high-quality iOS applications. - Demonstrated expertise in the complete app development lifecycle, skilled in UI/UX design, front-end coding, back-end integration, and database management. - Extensive 11-year background as a Data Analyst, proficient in data visualization, econometric modeling, and using tools like Stata, EViews, and Python to deliver data-driven solutions. - Strong foundation in various statistical techniques and models, including ARDL, Spatial Autocorrelation, Probit and Multinomial Logit regressions, and VECMX model. - Proven experience in project management, including conducting feasibility studies for PPP projects, and an adept understanding of risk assessment and stakeholder collaboration in the economic sector. - A well-rounded educational background with a Master of Arts in Economics and a Bachelor of Arts in Economic Informatics, graduating with honors.

Software Developer with a First Class BSc. in Computer Science, skilled in Java and Python, specializing in Spring and Django frameworks respectively. Notable experience includes 11 months developing ETL pipeline microservices and optimizing database queries for SAS Visual Investigator. Demonstrated expertise in DevOps and Data Engineering, evidenced by recent AWS Certified Solutions Architect certification. Proven problem-solving abilities with a track record of technical documentation enhancement and resolving complex communication issues between microservices. Extensive experience in full SDLC and software development best practices. Fluent in English and French, with practical knowledge of Spanish.

- Engineer with a strong foundation in microbiology, pivoted to health and education sectors, demonstrating adaptability and diverse skill set. - Experienced in educational and medical diagnostic environments, with a focus on biology and laboratory work. - Proven ability as a subject teacher and laboratory scientist, indicates a capacity for detailed analytical work and presentation of complex information. - Skilled in computer use, suggesting the potential for technical problem-solving and data management. - Exhibited commitment to excellence and continuous learning through professional development and certification in strategic management. - Diverse work portfolio showing flexibility and willingness to engage with new technologies and methodologies, aligning with a broad range of technical and engineering requirements.

Engineer with in-depth knowledge in accounting principles, statistical analysis, and technology tools. Notable for their expertise in QuickBooks, MS Excel, and SPSS for financial and data analysis tasks. Proven track record in full-cycle accounting, budget forecasting, financial reporting, and optimization of financial operations through dynamic pricing models and statistical forecasting. Demonstrated ability to improve operational efficiency and decision-making in various roles, including public sector planning and private sector data analysis. Strong foundation in tax compliance, financial accounting, and performance reporting. High proficiency in data analysis, auditing, budgeting, and financial planning, supplemented with skills in Adobe Creative Suite and Canva for creative design and digital marketing.

Proactive software engineer with practical experience in C#, ASP.NET Core, Entity Framework, and JWT Security. Adept at full-stack development, illustrated by projects like a virtual wallet system and a gaming forum. Proven expertise in utilizing tools like Swagger, Zabbix, and Cloudinary, with particular success in integrating external APIs and optimizing cloud engineering workflows. Fluent in English and intermediate in German, with solid analytical and conflict resolution skills underpinning a distinctive ability to enhance team and customer experiences. Holds a Master’s in Software Engineering in-progress, with a foundation rooted in a Bachelor's in Software and Internet Technologies.

- Over 7 years of experience in Digital Marketing, 3 of which are in the Trading Ecosystem as a Director Marketing/Team Lead Marketing - Skilled in using major tools like Facebook Ads, LinkedIn Ads, Google Analytics, GTM, and Data Studio, as well as newer platforms like TikTok Ads. Demonstrated success in managing large budgets, leading cross-functional teams, and launching products in the US and European markets, primarily in the EdTech and FinTech sectors. - Proficient in SEO, comprehensive analytics, and the creation of data-driven marketing sales funnels, specializing in formulating digital promotion strategies that enhance lead generation and customer segmentation for SaaS products. - Upper-Intermediate English

A seasoned software engineer with a strong background in Computer Engineering from Cairo University, the engineer brings both a deep understanding of theoretical principles and a rich hands-on experience in multiple software domains. Key strengths lie in web and mobile development, embedded systems, and machine learning, underscored by expertise in Python, Django, React, and AWS among other technologies. The profile showcases a proven track record of designing, coding, and maintaining sophisticated software solutions, notably in the healthcare sector with enterprise software contributions. This engineer is recognized for a systematic approach to analysis, design, and implementation across the software development life cycle. Revered personal projects such as an embedded system for CCTV face recognition signify a blend of innovation and practicality. With professional fluency in English and Arabic and having completed an IBM Big Data Engineer Certification, the candidate stands out for versatile skill sets and distinguished technical mastery.

- Сertified Azure DevOps Engineer with more than 20 years of experience in software and database development (С# and VB.NET) - 5+ years of experience in managing distributed development teams. I have participated in more than 15 projects, mostly of middle and large size, and have been involved in all stages of the release cycle, including analysis, design, coding, deployment, development and testing. I am versed in supporting new applications and developing new features for existing complex applications. - Skilled in refactoring, migration, and performance optimization, as well as in extending the functionality and maintaining the existing features. - Open-minded and goal-oriented team player with strong interpersonal and communicational skills. - Can learn quickly under tough deadlines. - Constantly looking for opportunities to improve my skills and knowledge in system design and algorithms.Industries: Logistics and transportation, banking and finance, information technology and services, professional services, computer software.

Engineer with 4 years in IT, specializing in analytics, data visualization, and machine learning. Proven track record in Agile project execution and innovative solution design. Proficient in Power BI, Python, R, and various ML techniques. Experienced in database modeling and ETL processes, with certifications in Power BI Data Analyst and expertise in multiple data-centric tools. Skilled in optimizing workflows and algorithms for business intelligence across diverse domains.

Certified Data Scientist bringing an 3+ year commercial expertise, particularly in NLP, CV, and 3D modeling, underpinned by a solid foundation in machine learning and data processing. Commands an advanced proficiency in Python, complemented by adeptness in JavaScript and NodeJS. Demonstrates in-depth experience with Python libraries such as Pandas, numpy, and PyTorch, and excels in deploying solutions with Git, Docker and API development. Proven track record in industries such as SEO and logistics, leveraging statistical models and ML solutions to drive data insights and optimization. Renowned for transforming complex requirements into scalable algorithms and models, with academic credentials in Mechanical and Computer Engineering.

A seasoned Python Automation Engineer with expertise in web scraping, automation scripting, and data analysis. Demonstrated experience with Upwork, some more companies in my resume. entailed providing robust automation solutions, improving data collection processes, and enhancing analytical capabilities. Proficient in Python programming, using tools such as BeautifulSoup, Scrapy, Selenium, and skilled in database management with MongoDB and Cassandra. Technical acumen in API integration complements a strong foundation in software development practices. This engineer’s skill set, combined with practical experience, positions them favorably for roles requiring efficient data handling and process automation.I can complete 1 small project for free to showcase my skills.