Hire Vetted Data and Analytics Engineers at Upstaff

• Over 6 years of experience with high-volume data platforms (PySpark, Databricks), and orchestrating pipelines with Apache Airflow and Azure Data Factory. AWS and Azure cloud services for ELT processes.
• Delivered consulting services for Banking (Santander), Retail (Mango, Zalando), Insurance (Reale Seguros), and Industry (Telefónica, Técnicas Reunidas) on Databricks Lakehouse adoption and data platform strategy.
• Strong background in ML model industrialization, ETL processes, and optimization of Spark configurations
• Hosted the first Databricks User Group Meetup in Madrid and attended the DAIS 2025 in San Francisco.

• Data engineer with 18+ years in distributed systems and data-intensive platforms, now focused on cloud ETL/ELT (Extract-Transform-Load and Extract-Load-Transform) pipelines and lakehouse architecture.
• Recent work: rebuilding a legacy on-premise SQL/shell/Python pipeline estate as medallion-layered Databricks/Delta Lake pipelines for a global investment bank, and building AWS-native batch and streaming pipelines (EMR/Spark, S3, Lambda, Step Functions, Kinesis) for aglobal financial market-data provider.
• Strong SQL and relational database design; dimensional modelling and data warehousing; data quality, lineage and governance in strictly regulated environments. 
• EU-resident in Sofia.

• 15 years of experience in software and data engineering. Expertise in designing and implementing cloud-native data lakehouse solutions using Snowflake, Azure Databricks, and Apache Kafka with CDC and Lambda/Kappa architectures.
• Proficient in Go, Python, SQL, PL/SQL, ETL, dbt, Airflow, Debezium, and CI/CD pipelines with GitLab, enhancing data ingestion and transformation workflows. AWS and Azure cloud services.
• Led development of zero-downtime upgrade features for VMware vSphere, holding patents for innovative software-defined data center upgrade methods.
• Data consulting for Neoshare AG, DSK Bank, OpenTag EOOD, VMware, CODIX S.A and IBM.

• Over 15 years of expertise in designing and implementing ETL/ELT, high-availability databases and advanced BI solutions across cloud and on-premises platforms, including Snowflake, AWS, Azure, and SQL Server.
• Proficient in SQL (T-SQL, PL-SQL), Python (NumPy, Pandas), MDX, and ETL tools such as dbt, SSIS, and Azure Data Factory, with strong experience in data warehouse architecture and migration projects.
• Solid foundation in computer science with MSc in Microsoft Information Technologies and hands-on experience in Microsoft BI stack, cloud data engineering, and agile methodologies, including SCRUM and Azure DevOps.

• 15+ years of experience in web development
• Front-End: JavaScript & TypeScript (React, Angular, Vue.js).
• Mobile: React Native.
• Back-End: Java (Spring Boot, JavaCV + FFmpeg for media processing), Node.js, Next.js, TypeScript, PHP.
• AWS Cloud infrastructure, Lambda/Serverless, SNS/SQS.
• Unit testing, integration testing, testing automation frameworks and tools
• M.Sc in Software Engineering, GAI, LLMs.
• Experience leading and mentoring a team of developers, including assigning tasks, providing guidance, and ensuring the team's success. Conducting assessments and interviews. Ability to motivate and train team members, resolve conflicts, and providing constructive feedback.

• 8+ years of experience as a Data Engineer, Data QA, and Data Science challenges. - AWS Certified Data Analytics.
• Experience creating and supporting of ELT data pipelines built on Snowflake and DBT
• Warehousing models, and support existing processes/ETL’s (extract/transform/load), functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, AWS services
• Software developer with good communication and organizational skills.

• 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

• Machine Learning and Data Engineer with 10+ years of professional experience.
• Knowledge of a wide range of programming languages, technologies and platforms, inc Python, JavaScript, C/C++, MATLAB;
• Extensive experience with designing and academic analysis of AI/ML algorithms, data analytics, mathematical optimization, modern statistical and stochastic models, robotics;
• Determining and analyzing business requirements, communicating with clients and architecting software product;
• Solid experience in engineering and design of robust and efficient software products;
• Track record of performing as a member of large-scale distributed engineering teams;
• Strong knowledge of OOP/OOA/OOD, database modeling;
• Experience with cutting edge Semiconductor Engineering;
• Proficient in writing and presentation of grants, projects reports and documentation;
• Fluent English;
• Upper-Intermediate German and Dutch.

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.

Designed and implemented AI solutions including custom AI agents, Retrieval-Augmented Generation (RAG) applications, and OpenAI integrations. Delivered automation workflows that reduced manual effort, improved customer engagement, and streamlined business operations through scalable, production-ready AI systems.

Successfully supported business owners, entrepreneurs, and growing companies by delivering reliable executive virtual assistant and administrative support. Managed calendars, inboxes, appointment scheduling, customer communication, CRM updates, data entry, lead generation, internet research, document preparation, file organization, travel coordination, and reporting with accuracy and professionalism. Proficient in Google Workspace, Microsoft Office, Excel, Google Sheets, HubSpot CRM, Zoho CRM, Trello, Asana, ClickUp, Slack, Zoom, and Canva, helping businesses improve productivity, streamline operations, save valuable time, and maintain efficient daily workflows.

Successfully managed projects, social media campaigns, SEO strategies, business development initiatives, and business intelligence reporting to drive measurable business growth. Increased brand visibility through data-driven marketing, improved search rankings with effective SEO, generated qualified leads through strategic outreach, and delivered projects on time and within scope. Built interactive dashboards and performance reports that supported smarter business decisions, improved operational efficiency, strengthened client relationships, and consistently delivered high-quality results while meeting business goals and exceeding expectations.

I am a reliable, detail-oriented, and proactive Virtual Assistant dedicated to helping busy entrepreneurs, startups, and growing businesses stay organized and productive. I take pride in delivering high-quality administrative support that allows my clients to focus on growing their business while I handle the day-to-day tasks efficiently and professionally.

My services include:

• Email and inbox management

• Customer service and email support

• File and document organization

• CRM data management

Let's work together to simplify your daily operations, improve productivity, and achieve your business goals.

Designed and optimized modern websites and sales landing pages that improve user experience, mobile responsiveness, and business conversions. Delivered responsive front-end solutions, enhanced website performance, and implemented SEO best practices to help businesses strengthen their online presence. Experienced in web development, website optimization, and creating scalable websites that meet both client and user needs.