Hire the Top Freelance Aws Redshift Developers in the World

Eduardo possesses over 20 years of professional software development background and has the experience and skills to fulfill both programming and data engineering roles. He enjoys building data processing pipelines as well as designing and developing software solutions using Golang, Python, and DevOps.

Well-rounded Data Analyst with 2+ years of experience working with agile projects, Big Data, AWS cloud technology, and developing algorithms on Python or Spark for ETL. I am passionate about descriptive analytics, data visualization, and application of data analysis solutions towards Big Data. Proven experience in interpreting and analyzing data to drive growth for companies such as Santander, BNP Paribas, and Vivo.

Seasoned Data Engineer with 12+ years of experience working in various data engineering roles for companies that rely on a strong technology core, where the collection, management, and analysis of data play a key factor in their business model. Strong proficiency in Data Warehouse Architecture, Data integration / ETL&ELT development, Data back-end development, BI Reporting, Project Management, leadership in Agile SCRUM environments, Process tuning and optimization. Hands-on experience working on big data engineering in remote enviroments for global companies.

Jason is an organized customer-focused Web Developer with expertise from a multitude of varying projects. He proposes and develops innovative solutions on projects for clients; building new tools, processes, and workflows, optimizing code and developing new functionalities to provide a better user experience on solutions. He is a strong collaborator with uncompromising attention to detail; maintaining quality and thriving in a fast-paced environment.

Naga is a passionate Data Engineer with over 8 years of experience in designing, developing, and optimizing entire data pipelines including data science algorithms in production at scale with operational reliability. He has extensive experience with Python, Shell Scripting, Big Data, Hadoop, Hive, Spark, Kafka, Airflow, as well as cloud environments including AWS and Azure. Naga's expertise includes assessing organizational data needs and architecting the right approach, migrating traditional warehouse platforms to Big Data if necessary.

Igor is an expert Data Engineer who provides solutions and expertise for data strategy, architecture, infrastructure, and execution, while supporting various data needs on projects. He focuses on data aggregation and data visualization, refining raw data from different sources into targeted, valuable data assets for consumption in a streamlined and controlled process for clients. Igor embraces data-focused best practices in optimizing data flow and data pipeline architecture.

Romil is a DevOps/Cloud Architect who designs, builds, and supports advanced cloud automation workflows and tools that enhance deployments to AWS. He seeks to deliver reliable and reproducible solutions on projects, anticipating DevOps problems and coming up with solutions to address them. Romil owns and manages various database clusters, networks, and the underlying infrastructure that supports different apps and services. He works cross-functionally with other teams to deliver stable and functional production environments and enjoys liaising with different stakeholders to enhance operational efficiency, security, and business continuity.

Oleksandr is a Senior Data Engineer with 8+ years of hands-on experience in data processing, prediction modelling and classification, backend development, deployment and maintenance of microservices. He is familiar with data model design - schema, scalability, immutability and idempotency. He implements data solutions that drive business value and customer satisfaction on multiple projects for clients.

Allan is a Senior Machine Learning Engineer and data expert accountable for end-to-end solution design and delivery for 10+ years, defining and leading the engineering approach for modeling, developing, and managing data solutions across projects. He has developed depth and competence with multiple tools, libraries, and frameworks that enhance development efficiencies and business outcomes, building and optimizing data pipelines, architectures, and datasets. Allan has also taught undergraduate technology courses such as statistics, advanced IT, OOP, and calculus).

Kevin is a driven Data Engineer focusing on building real-time Data ETL pipelines using Python, data streaming with Kafka, and further processing or even modeling with Spark for creating real-time interactive dashboards for visual insight. He creates expert models through Machine Learning or Deep Learning with Python for Time Series problems, Classification tasks as well as NLP. He also has good knowledge of AWS, GCP, and Azure for serverless applications that involve data manipulation, storing, processing or streaming.