Find top Kafka streams tutors - learn Kafka streams today

Find top Kafka streams tutors - learn Kafka streams today

Master Kafka streams from our Kafka streams tutors, mentors, and teachers who will personalize a study plan to help you refine your Kafka streams skills. Find the perfect Kafka streams tutor now.

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Learn Kafka streams with online tutors

  • Learn Kafka streams with Kafka streams tutors - Kirill Erokhin

    Kirill Erokhin

    Kafka streams tutor

    US$25.00 /15 min
    232 reviews

    **Currently accepting students for Racket/Scheme tutoring (special rates available!)** I teach Operating Systems and functional programming fundamentals to CS students and guide fellow professionals through legacy codebase maintenance, practical software architecture, and new language/framework learning skills. For students, I offer two types of sessions - one is a lecture-style session where I can go over course notes/slides on a particular topics and offer additional explanations and examples to improve your understanding of the material. Another type is an assignment take-up session where I can go over a past assignment and guide you through steps to solving it. For working professionals, I offer the following options: * Focused problem-solving sessions - if you have a particular issue that you're stuck with in a project you're working on, I can pair with you over Zoom screen-sharing * Code review - if you cannot understand how to work with part of your codebase or if you'd like a second opinion on work that you've just completed, I can pair with you over Zoom and do a live code review and/or prepare ahead of time and go over my findings on a call * Long-term mentorship - if you would like to learn some more fundamental skills or pick up a framework/design pattern/best practices, I can develop a custom-tailored learning plan that fits your skill level and schedule and offer regular teaching sessions with optional take-home exercises A bit about me --- I am a tech founder and a senior polyglot/full-stack developer, with a passion for teaching and mentorship. In a bit of spare time from my work, I am looking to help fellow software developers get more comfortable with our craft and exercise my teaching skills while I'm at it. So far, I've done a wide range of work - web app front-end and back-end, data pipelines at scale, DevOps/infrastructure, mobile (quite a bit of iOS and previously some Android) and some security. I have a reasonable taste for UI design and user experience, despite that not being my primary specialization. The industries I've worked in so far were heavily concentrated around finance/banking/FinTech and GovTech, although I've also been a founding developer at a couple of B2C startups and learned a lot throughout that experience. My personal research interests include operating systems and programming language theory. As cliche as it sounds, I try to learn something new all the time and I consider this of vital importance to my professional skillset. I always prioritize systems understanding and learning how to learn over memorizing APIs - and it's a philosophy that I try to share with my students as well. Teamwork and constant exchange of expertise with my peers is a close second most important value to me. A software product can be almost meaningless without a team that welcomes learning from failures, encourages curiosity and fosters true human friendships, and empathy both towards each other and towards the customers of the software we create. New client intake process --- 1. Intro/triage call [free of charge] [15 min] - this is a Zoom video call where I try to understand your background, the problem you're looking to solve and whether I believe we'd be a good fit for a productive mentor/mentee relationship. 2. Supplemental terms acceptance - as an independent contractor and not an employee of Arc, I ask my clients to accept a few additional terms that make session time measurement, scheduling and work product acceptance more precise, and further clarify the extent of our mentorship relationship. 3. Creation of Freelance Job/Scheduled Session on Codementor - if you haven't done that yet, I will ask you to create and assign me a freelance job and/or a scheduled session with a precise description of the topics we would be covering. For certain sessions, preliminary preparation may be required - if that is the case, we would discuss the details and estimated time ahead of time and a Freelance Job would be required to cover the effort of the preparation. Availability --- Please take a look at my Codementor calendar to plan intro calls and sessions. Generally, I am available between 3:30pm and 8pm Eastern Time (New York/Toronto), Monday to Saturday, but I try to schedule all of my teaching engagements between 6pm and 8pm whenever possible. *IMPORTANT: Urgent sessions are unfortunately not available at this time.* I am currently working through Codementor as a mentor, and unable to work as an on-call freelance developer. Please also note that I cannot provide consultations over chat - in my experience, it's generally more time-consuming for everyone, and copy-pasting code over chat can get messy. For those reasons, I only work through Zoom video calls with screen sharing. If you have any questions about the process or would like to book a call, I am happy to chat on Codementor - I should be usually available Monday-Saturday, 1pm - 8pm Eastern Time, subject to my other engagements. While I try to respond as soon as I can, I may take up to one business day or longer depending on how busy my schedule might get.

  • Learn Kafka streams with Kafka streams tutors - Dmitry Golubets

    Dmitry Golubets

    Kafka streams tutor

    US$10.00 /15 minfirst 15 mins free badge
    6 reviews

    I started my career as a .NET developer doing system integration back in 2006. It's been a long way since: full stack development in .NET and JavaScript ecosystems, learning functional programming in Scala, machine learning in Python, low level programming Rust, doing my pet projects, moving countries for new job opportunities. At present I'm a full time software engineer working on back-end systems in Scala. I do my hobby projects in Rust and keep a very close eye on that language development.

  • Learn Kafka streams with Kafka streams tutors - Victor Ivri

    Victor Ivri

    Kafka streams tutor

    US$15.00 /15 min

    I'm a passionate software professional with over 10 years experience. I've seen projects rise, fall, and rise again - and know some of the things that can make them succeed. My main area of expertise are Scala, Architecture, Kafka, AWS, and API design - however I have worked extensively with many different technologies.

  • Learn Kafka streams with Kafka streams tutors - Pavel

    Pavel

    Kafka streams tutor

    US$5.00 /15 min

    I develop backend projects using Ruby and Scala/Java more then 5 years. Over the years I was engaged in gamedev projects, online shop, video shop, recommendation system using ML. I have a deep knowledge of these platforms and the ecosystem (often used libraries). Also I have goos experience with many database systems including PostgreSQL, MySQL, Elasticsearch, Redis, Cassandra.

  • Learn Kafka streams with Kafka streams tutors - Bulat  Salyakhutdinov

    Bulat Salyakhutdinov

    Kafka streams tutor

    US$5.00 /15 min

    I was fascinated by math and programming since my childhood. Then I've studied *math* and *computer science* in university and (almost) never stopped learning. My developer career is mostly concentrating around coding services in **Scala**, but I did some other stuff too. And I always learn something new just for fun! In school and later in university I participated in algorithmic programming contests and I'm experienced **ACM ICPC** participant. I attended a lot of workshops on different computer science topics (*algorithms* & *complexity*, *distributed systems*, *concurrent programming*, *machine learning*).

  • Learn Kafka streams with Kafka streams tutors - Rahul Singh

    Rahul Singh

    Kafka streams tutor

    US$15.00 /15 min

    I help people build platforms that run the world. Specifically I help build cloud-neutral global data platforms that are heart of global brands. I've worked with large companies that want to create "silicon valley" like experiences for millions users world wide. These days, I focus on this stack: C#/TypeScript/JS + Cassandra/Spark/Kafka + Terraform/Ansible/Docker/Kubernetes though have used over 40 different programming languages and too many different frameworks and platforms to count. I've also taught and mentored hundreds of people over the last 25 years formally and informally, and host weekly webinars on Data Engineering and Cassandra, recorded and put on Youtube. I've attached my latest Cassandra World Party talk.

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Frequently asked questions

How to learn Kafka streams?

Learning Kafka streams effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:

  • Understand the basics: Start with the fundamentals of Kafka streams. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Kafka streams, laying a solid foundation for further growth.
  • Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
  • Seek expert guidance: Connect with experienced Kafka streams tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
  • Join online communities: Engage with other learners and professionals in Kafka streams through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
  • Build real-world projects: Apply your Kafka streams skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Kafka streams in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
  • Stay updated: Since Kafka streams is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.

How long does it take to learn Kafka streams?

The time it takes to learn Kafka streams depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:

  • Beginner level: If you are starting from scratch, getting comfortable with the basics of Kafka streams typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
  • Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Kafka streams’s more advanced features and best practices.
  • Advanced level: Achieving proficiency or an advanced level of skill in Kafka streams generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Kafka streams, contributing to major projects, and possibly specializing in specific areas within Kafka streams.
  • Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Kafka streams. Engaging with new developments, tools, and methodologies in Kafka streams is a continuous process throughout your career.

Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.

How much does it cost to find a Kafka streams tutor on Codementor?

The cost of finding a Kafka streams tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:

  • Tutor experience: Tutors with extensive experience or high demand skills in Kafka streams typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
  • Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
  • Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.

To find the best rate, browse through our Kafka streams tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.

What are the benefits of learning Kafka streams with a dedicated tutor?

Learning Kafka streams with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:

  • Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Kafka streams, but exceling in a way that directly aligns with your objectives.
  • Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
  • Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Kafka streams can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
  • Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
  • Career guidance: Tutors can also offer guidance on how to apply Kafka streams in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.

By leveraging these benefits, you can significantly improve your competency in Kafka streams in a structured, supportive, and effective environment.

How does personalized Kafka streams mentoring differ from traditional classroom learning?

Personalized Kafka streams mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:

  • Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
  • One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
  • Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
  • Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
  • Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.

Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Kafka streams.

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