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Ihor K, GCP Big Data services Developer

Last Job: 3 Jun 2024
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- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation - 16+ years experience with data-driven projects - Strong background in statistics, machine learning, AI, and predictive modeling of big data sets. - AWS Certified Data Analytics. AWS Certified Cloud Practitioner. - Experience in ETL operations and data curation - PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake - Big Data Fundamentals via PySpark, Google Cloud, AWS. - Python, Scala, C#, C++ - Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.

GCP Big Data services

GCP Big Data services

AWS big data services

AWS big data services

AWS Quicksight

AWS Quicksight

Python

Python

Apache Kafka

Apache Kafka

Data Pipelines (ETL)

Data Pipelines (ETL)

View Ihor
5.0
Based on 9 reviews

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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Within 1-3 days, we’ll share profiles and connect you with the right GCP Big Data services talents for your project. Schedule a call to meet engineers in person.
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Bring new GCP Big Data services expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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5.0
Based on 9 reviews
google
Maryna Navo September 25, 2023

Крутий сервіс, зручна комунікація. Допомогли з закриттям мого питання на 200%

google
Volodymyr August 11, 2023

Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in.Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

google
Henry Akwerigbe August 30, 2023

This is a super team to work with. Through Upstaff, I have had multiple projects to work on. Work culture has been awesome, teammates have been super nice and collaborative, with a very professional management.There's always a project for you if you're into tech such Front-end, Back-end, Mobile Development, Fullstack, Data Analytics, QA, Machine Learning / AI, Web3, Gaming and lots more.It gets even better because many projects even allow full remote from anywhere!Nice job to the Upstaff Team 🙌🏽.

google
Roman Masniuk August 25, 2023

I worked with Upstaff engineers for over 2 years, and my experience with them was great. We deployed several individual contributors to clients' implementations and put up two teams of upstaff engineers. Managers' understanding of tech and engineering is head and shoulders above other agencies. They have a solid selection of engineers, each time presented strong candidates. They were able to address our needs and resolve things very fast. Managers and devs were responsive and proactive. Great experience!

google
Vitalii Stalynskyi August 29, 2023

I have been working with Upstaff for over a year on a project related to landscape design and management of contractors in land design projects. During the project, we have done a lot of work on migrating the project to a multitenant architecture and are currently working on new features from the backlog.When we started this project, the hiring processes were organized well. Everything went smoothly, and we were able to start working quickly. Payments always come on time, and there is always support from managers. All issues are resolved quickly.Overall, I am very happy with my experience working with Upstaff, and I recommend them to anyone looking for a new project. They are a reliable company that provides great projects and conditions. I highly recommend them to anyone looking for a partner for their next project.

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FAQs on GCP Big Data services Development

What is a GCP Big Data services Developer? Arrow

A GCP Big Data services Developer is a specialist in the GCP Big Data services framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a GCP Big Data services Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened GCP Big Data services Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a GCP Big Data services Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on GCP Big Data services, then hiring a GCP Big Data services Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified GCP Big Data services Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a GCP Big Data services Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire GCP Big Data services Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire GCP Big Data services Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of GCP Big Data services Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a GCP Big Data services Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a GCP Big Data services Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is GCP Big Data services used?

How and where
  • Real-time analytics: Monitoring data streams
  • Data warehousing: Analyzing business data
  • Machine learning: Predictive analytics
  • Internet of Things: Processing sensor data
  • Data lake: Storing and analyzing big data
  • Data migration: Moving data to the cloud
  • Data archiving: Long-term data storage
  • Clickstream analysis: Understanding user behavior
  • Log analysis: Monitoring system logs
  • Recommendation engines: Personalizing user experiences

Compare Junior, Middle, Senior, and Expert/Team Lead GCP Big Data services Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-3 years
  • Develop basic Big Data pipelines
  • Assist in data analysis tasks
  • Support data visualization efforts
60,000
Middle3-5 years
  • Design and implement complex data solutions
  • Optimize Big Data workflows
  • Collaborate with cross-functional teams
80,000
Senior5-8 years
  • Lead Big Data projects
  • Architect data systems
  • Mentor junior developers
100,000
Expert/Team Lead8+ years
  • Define Big Data strategies
  • Manage team projects
  • Provide technical leadership
120,000

Quick Facts about GCP Big Data services.

Facts about
  • The GCP Big Data services Software Development was created in 2008 by Google.
  • Popular project types using this technology include data analytics and machine learning.
  • The entry threshold for using this technology is having a basic understanding of data processing.
  • A popular related technology to GCP Big Data services is Apache Hadoop for distributed computing.
  • A fun fact about GCP Big Data services is that it can process petabytes of data in minutes!

TOP GCP Big Data services Related Technologies

Related Technologies
  1. BigQuery
  2. (Data warehousing, author Google)

  3. Dataflow
  4. (Real-time data processing, author Google)

  5. Pub/Sub
  6. (Message queuing service, author Google)

  7. Bigtable
  8. (NoSQL Big Data database, author Google)

  9. Cloud Dataproc
  10. (Apache Spark and Hadoop service, author Google)

What are top GCP Big Data services instruments and tools?

Instruments and tools
  • BigQuery: Data warehouse tool by Google (2010)
  • Dataflow: Stream & batch data processing by Google (2014)
  • Pub/Sub: Messaging service by Google (2015)

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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