Hire the Top Freelance Aws Glue 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.

Ruud is a business-minded Data Scientist with 7+ years of technical expertise in the delivery of valuable data-driven solutions and insights on projects via data analytics and advanced data-driven methods. He provides solutions that drive sustainable corporate growth; with gains in customer loyalty and profits.

I am a Senior Software Engineer with 13+ years of technical insight in data (Big Data) analysis; iterating high-quality solutions for clients in the advertising and banking industry. I have hands-on mastery in Big Data analysis, AWS data pipeline processing, Hadoop and Java development; working on big-scale data-centric projects across the software development process. I am an avid learner of new technologies with team lead expertise for globally distributed software development teams.

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.

Naman is a passionate data engineer with 7 years of experience in the analysis, design, development, implementation, maintenance and support, with experience in developing strategic methods for deploying big data technologies. Hands-on experience in the design, implementation, and productionalization of an enterprise-grade ML on big data solution for two Fortune 500 financial institutions. Highly-skilled in working with Databricks, Azure, ADF, Spark, and Scala.

Amaury is a Data & DevOps Engineer who enjoys a Python-centric codebase on projects and works within the limits of Python best practices for data processing, real-time data monitoring (IoT), and dashboards using modern tools. He also has experience implementing and maintaining servers and cloud infrastructure such as AWS in several projects as well as 5+ years of experience working in leadership and management positions. Amaury designs solutions to maintain, improve, and build data solutions to support business operations and analytics, translating requirements into data and analytics solutions, optimizing data pipeline performance, and troubleshooting issues. He has also worked with Blockchain nodes/serves implementation, wallet development, NFT, and Tokenization.

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.

Fabio is a driven Data Engineer with over 5 years of experience in wrangling big datasets for multiple projects. He also has extensive experience in business intelligence and data analysis for gathering game-changing insights for businesses, also focusing on scalability, data infrastructure, and efficient development.

Allan is a Data Expert accountable for end-to-end solution design and delivery for 10+ years - defining and leading the engineering approach for modelling, 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 data sets.

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.