Spark

Hire the Top 3% of Freelance Apache Spark Developers

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Mateusz Cieślak

Freelance Apache Spark Developer
Poland
Toptal Member Since June 21, 2022

Mateusz is an experienced data engineer with more than 20 projects delivered in areas of data analytics and IT implementations. He is an expert in big data technologies (Hadoop, Python, Apache Spark, Azure) and SQL (T-SQL) and is known for building high-performing ETL/ELT data pipelines. At PwC, Mateusz developed a large volume data mart to profile over 300 million citizens by more than 500 variables and an analytics engine to recommend optimal promotional actions with more than 20,000 products.

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Sebastian Brestin

Freelance Apache Spark Developer
Romania
Toptal Member Since March 12, 2018

Since 2012, Sebastian has been developing distributed systems for various platforms ranging from Solaris, IBM AIX, HP-UX to Linux and Windows. He's worked with various technologies such as Apache Spark, Elasticsearch, PostgreSQL, RabbitMQ, Django, and Celery to build data-intensive scalable software. Sebastian is passionate about delivering high-quality solutions and is extremely interested in big data challenges.

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Radek Ostrowski

Freelance Apache Spark Developer
Thailand
Toptal Member Since September 24, 2014

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, a successful hackathon competitor, and a speaker at conferences in Australia, Poland, and Serbia.

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Dhruvi Pandya

Freelance Apache Spark Developer
India
Toptal Member Since September 1, 2023

Dhruvi is a data engineering professional with seven years of industry experience who started as a back-end developer. Her expertise lies in building, maintaining, and optimizing data pipelines, mostly with stacks such as Spark, Airflow, Storm, Snowplow, Docker, and Kafka. She has hands-on experience with AWS services like EC2, EMR, Elastic Beanstalk, Athena, and Redshift. Dhruvi is also well-versed in Agile development and sprint planning methodologies.

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Tiago de Holanda Cavalcanti

Freelance Apache Spark Developer
Brazil
Toptal Member Since June 24, 2020

Tiago is a senior data scientist and software engineer who excels at implementing big data ETLs with Apache Spark and creating statistical models to solve challenging real-world problems. In his free time, he enjoys creating trading bots for stock and crypto exchanges.

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Daniel Stahl

Freelance Apache Spark Developer
United States
Toptal Member Since August 25, 2021

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.

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Adam Ivansky

Freelance Apache Spark Developer
United States
Toptal Member Since November 6, 2018

Adam has nine years of experience as an engineer and two years of experience as a tech load. His tools of choice include Python 3, Snowflake, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to communicate effectively with both highly technical and non-technical specialists.

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Karip Kaya

Freelance Apache Spark Developer
United Kingdom
Toptal Member Since March 29, 2022

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.

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Selahattin Gungormus

Freelance Apache Spark Developer
Turkey
Toptal Member Since May 4, 2021

Selahattin is a data engineer with several years of hands-on experience building scalable data integration solutions using open-source technologies. He excels at developing data applications using distributed processing platforms such as Hadoop, Spark, and Kafka. Selahattin also has practical experience in cloud architecture types such as AWS and Azure, as well as developing microservices using Python and JavaScript frameworks

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Adrian Dominiczak

Freelance Apache Spark Developer
Poland
Toptal Member Since July 21, 2020

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.

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Festus Asare Yeboah

Freelance Apache Spark Developer
United States
Toptal Member Since May 14, 2020

Festus is a data and machine learning engineer with ​in-depth, hands-on technical expertise in data pipeline architecture. He excels at the design and implementation of big data technologies (Spark, Kafka, data lakes) and has a proven track record in consulting on architecture design and implementation.

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How to Hire Apache Spark Developers Through Toptal

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A Toptal director of engineering will work with you to understand your goals, technical needs, and team dynamics.
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Within days, we'll introduce you to the right Apache Spark developer for your project. Average time to match is under 24 hours.
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Work with your new Apache Spark developer for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.

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FAQs

  • How quickly can you hire with Toptal?

    Typically, you can hire an Apache Spark developer with Toptal in about 48 hours. For larger teams of talent or Managed Delivery, timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network.

    Once you select your Apache Spark developer, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.

  • How do I hire an Apache Spark developer?

    To hire the right Apache Spark developer, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect Apache Spark developers for your project.

  • How are Toptal Apache Spark developers different?

    At Toptal, we thoroughly screen our Apache Spark developers to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut.

    In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship.

    When you hire an Apache Spark developer with Toptal, you’ll always work with world-class, custom-matched Apache Spark developers ready to help you achieve your goals.

  • Can you hire Apache Spark developers on an hourly basis or for project-based tasks?

    You can hire an Apache Spark developer on an hourly, part-time, or full-time basis. Toptal can also manage the entire project from end-to-end with our Managed Delivery offering. Whether you hire an expert for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our Apache Spark developers can fully integrate into your existing team for a seamless working experience.

  • What is the no-risk trial period for Toptal Apache Spark developers?

    We make sure that each engagement between you and your Apache Spark developer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another expert who may be a better fit and with whom we will begin a second, no-risk trial.

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