Hire the Top 3% of Apache Spark Developers in 48 Hours

Radek is a certified Toptal blockchain engineer, particularly interested in Ethereum and smart contracts. In the fiat world, he is experienced in big data and machine learning projects. He is a triple winner in two different international IBM Apache Spark competitions, co-creator of PlayStation 4's back end, successful hackathon competitor, and speaker at conferences in Australia, Poland, and Serbia.

Daniel is a full-stack developer with nine years of real-world experience in financial modeling and analytics and three years of experience developing big data applications in Spark and Hadoop. He currently leads a machine learning operations team that designs continuous delivery services for machine learning applications. While professionally focused on data and analytics, Daniel has a passion for building delightful interfaces to enable the broad consumption of complex mathematical models.

Adam is a Senior Data Engineering Tech Lead and Architect who builds scalable data platforms, real-time streaming pipelines, and Agentic LLM and Generative AI automation systems. He delivered a high-concurrency live-streaming analytics platform that powers thousands of enterprise dashboards. An expert in Infrastructure as Code (IaC) and full-lifecycle platform engineering, Adam builds internal APIs and cloud infrastructure using Python, Snowflake, AWS, Terraform, and PostgreSQL.

Benjamin has over two decades of software and big data development experience, including data modeling and data warehouse design. His active toolset includes Spark, Python, Scala, AWS, Azure, SQL, Hive, Linux, Microsoft BI solutions, C#.NET, and Java. His orientation to detail and strong analytical and problem-solving skills make him an excellent addition to any team. A kind and intentional communicator, Benjamin always produces high-quality work.

Karip is a data engineer and developer with 18 years of experience in the IT industry and six years in the freelance community. He specializes in Java, Scala, and Python and is skilled at Hadoop, Spark, and PL/SQL. Karip enjoys working on the back end, database, and big data projects.

Selahattin is a senior data engineer with 10+ years of experience designing and building scalable data platforms using cloud-native and open-source technologies. He has a proven track record of developing high-performance data pipelines with Snowflake, dbt, Databricks, and Airflow, and significantly improving data reliability and accessibility. Selahattin is highly proficient in SQL and Python, with hands-on expertise in AWS, Azure, Kafka, and data modeling.

Yuriy is a data specialist with over 15 years of experience in data warehousing, data engineering, feature engineering, big data, ETL/ELT, and business intelligence. As a big data architect and engineer, Yuriy specializes in AWS and Azure frameworks, Spark/PySpark, Databricks, Hive, Redshift, Snowflake, relational databases, tools like Fivetran, Airflow, DBT, Presto/Athena, and data DevOps frameworks and toolsets.

Adrian is a senior big data engineer with nearly a decade of professional experience. Adrian started his career as a software engineer at Samsung's R&D and has worked on a range of projects from machine learning and big data engineering in banking and pharmaceutical industries to big data and cloud architecting at Santander and Lingaro. Adrian's areas of expertise lie mainly with Hadoop and Spark.

Evgeniy is a back-end developer with over ten years of experience, specializing in big data/fast data processing and machine learning. He's always in touch with the latest advances in the industry and continuously upgrades his skill set. His toolkit is centered around functional programming and scalable analytics engines like Apache Spark. Evgeniy considers the job done only when it has been tested, documented, and deployed.

Tianshi loves optimizing distributed systems, big data pipelines, and real-time streaming applications. It thrills him when an out-of-memory issue is fixed or a Spark job becomes 50% faster, or a streaming application's throughput is increased by 10x. Tianshi looks forward to building the next reliable, scalable, and highly available distributed system.

Wei is a senior system engineer with over a decade of experience in system development in the Australian finance and media fields. He has a bachelor's degree in engineering and two master's degrees in engineering management and IT. Wei specializes in data modeling and system solution architecture and has delivered Python, Java, and Spark applications.