Find top Data Engineering tutors - learn Data Engineering today

Find top Data Engineering tutors - learn Data Engineering today

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

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Learn Data Engineering from 300+ Data Engineering tutors

  • Learn Data Engineering with Data Engineering tutors - Christoph Gulden

    Christoph Gulden

    Data Engineering tutor

    US$50.00 /15 minfirst 15 mins free badge

    Hi! I’m Christoph — a certified Python developer (PCPP1), experienced software engineer, and ex-BCG consultant. I’ve helped professionals and teams debug smarter, prep for certifications, and turn complexity into clarity. **Let’s simplify your next challenge.**

  • Learn Data Engineering with Data Engineering tutors - Anuj Menta

    Anuj Menta

    Data Engineering tutor

    US$30.00 /15 min
    85 reviews

    I've spent the last 12 years writing code for a variety of use-cases ranging from scraping data, cleaning and organizing it, analyzing and building Machine Learning models on top of them, deploying them to production and build a backend and frontend layer. Having contributed across the board, you will get help from someone who - Takes a step back and tries to understand the problem before diving in to find a solution - Worked at multiple startups and projects in the 0-1 phase and build large scalable codebases from the ground up - Has experience writing code that scales well - Has worked in various industries, multiple shapes and sizes of startups and can talk about what has and hasn't worked in the past - Gets his hands dirty building interesting projects in his spare time - Talks about those projects in conferences across the world(India, France, Canada, New York) Feel free to reach out if you think you could use my expertise to unblock yourself! I've done short and long term mentoring and have helped guide folks launch their Data Science careers from scratch.

  • Learn Data Engineering with Data Engineering tutors - Scott Taylor

    Scott Taylor

    Data Engineering tutor

    US$12.00 /15 minfirst 15 mins free badge
    1 reviews

    **Nice to meet you!** If you're looking for *clear, concise explanations of data engineering concepts*—**especially SQL**—I can help. I specialize in making complex topics approachable, from understanding syntax and logic to writing performant queries. **Areas of Focus:** - SQL (my specialty) - Explaining syntax and the reasoning behind it - Tuning queries for performance - Designing databases for speed and reliability Most of my work is with Snowflake, but I can help with SQL across nearly any platform unless your question is deeply vendor-specific **Business Intelligence:** - Power BI - Tableau - Business Objects - SSRS **ETL/ELT Tools:** - dbt - Some experience with IBM DataStage **Why Work With Me:** I hold a degree in fine arts, which shaped how I teach. I blend creativity with logic and adapt sessions to your background and learning style. In my current role, I’ve helped save over $10,000 in Snowflake costs through query and architecture optimization. Whether you're brand new to SQL or trying to optimize enterprise-scale pipelines, I’ll meet you where you are. Let’s build your skills and confidence—step by step.**Send me a message to get started today!**

  • Learn Data Engineering with Data Engineering tutors - K M Rakibul Islam

    K M Rakibul Islam

    Data Engineering tutor

    US$35.00 /15 min
    2547 reviews

    Experienced (18+ years) developer and friendly Ruby on Rails and React/Next.js/Redux Developer/Mentor (with passion for helping others learn) | ★ 3,655+ 5 ★ sessions/jobs. 9+ years on top of the Codementor Ranking ★ https://www.codementor.io/ruby-on-rails-experts I am a Senior Software Engineer from Toronto, currently working as a Ruby on Rails and React/Redux Developer at theScore Inc. I am passionate about helping and mentoring people, especially those who are new to web development and the programming world. I am specialized in explaining the core concepts of Ruby and Rails, Javascript, React, APIs and everything else along with the best practices. I focus on the learning experience of my students and make sure they get exactly what they want. I have excellent academic track records (Bachelor of Science in Computer Science and Masters in Computer Engineering from the University of Toronto) along with strong development and industry experience in Software Development and Web Development (18+ years coding experience in total). I have helped more than 800 individuals here at CodeMentor (with 3,655+ 5 ★ sessions) with their projects implementation, bug fixes, architecture advices, performance improvements etc. I have worked with a bunch of CEOs and CTOs of YC start-ups and helped them with their projects. Made long term relationships with many of them which I help in a regular basis today. I have helped a LOT of bootcamp students here at CodeMentor and helped them build their web development career path and getting jobs after the completion of their bootcamp cohorts. Here at CodeMentor, I have helped people from all levels: From someone who is brand new to programming to 30+ years of experienced Senior Software Engineers, Product Managers and everyone in between. It's been an amazing journey here at CodeMentor for the last 8+ years! :-) I started programming and solving problems in 2006, at the age of 18. Since then, I wrote programs in a variety of programming languages such as C, C++, Java, PHP, Ruby, Python, Javascript, etc. These days, I use Ruby and Rails and React JS as my primary programming languages and frameworks. I can help with debugging your issues as well as refactoring your code according to the best practices and conventions out there. Helping people is my passion and motto in life. If you think I can help you in any way, please get in touch! Specialties: * Building scalable and performant backend APIs in Ruby on Rails (Active Model Serializer, GraphQL, Grape, Jbuilder, RABL, etc.) for android, iPhone or web applications. (For more than 12 million users). * Integration of backend APIs with Javascript frontend framework (ReactJS) using JSON Web Token (JWT). * Built highly scalable Push Notification System for theScore sports application (For ~10 million users). * Implemented instant player, team and news article search for the theScore and theScore eSports apps which have more than 6 million monthly active users using ElasticSearch and Rails. * Backend Ruby on Rails Development (With scaling, performance optimizations, database query optimizations, caching best practices, etc.). * Test Driven Development with clean code and best practices. * Web Scraping (Nokogiri, Mechanize) (Scrape data from anywhere on the internet!). * Reverse engineering complex APIs and web applications to write automated scripts to mimic and automate user behaviour and extract required data. * Explain concepts/solutions clearly and concisely according to the level of the client/student. (Helped over 800 people on CodeMentor with 3,655+ 5 ★ sessions) * Giving architecture advice for your application. Explain which tools/gems to use and why. * Setting up SSL certificates for Rails application (Nginx server) on AWS EC2 instance and securing your application. * Suggesting best practices and focusing on the best learning experience and long-term achievements. * Showing cool tips and tricks that I have learned over the past 18+ years (and still learning!) as a professional Ruby on Rails developer to be more productive and efficient at work. * Upgrading Ruby/Rails versions for your existing application. * Finding bottlenecks and Optimizing performance for your slow Rails applications. * I can help you to prepare for interviews for Ruby on Rails developer position, or any other Software Development position. I have successfully guided many developers who got their dream jobs after practicing coding interviews with me!

  • Learn Data Engineering with Data Engineering tutors - Anton Anderson

    Anton Anderson

    Data Engineering tutor

    US$15.00 /15 minfirst 15 mins free badge
    927 reviews

    I am a Windows software developer who has developed custom physical computing and data acquisition software applications for a major international corporation since 2001. That's my day job. As a mentor and freelance contractor, I am available from **5 pm to 10 pm US Central Time** every evening and I am usually available on appointment on the weekends. I usually monitor Codementor regularly throughout the day -- so if you need my assistance, message me and I will get back to you.

  • Learn Data Engineering with Data Engineering tutors - Chinmay Mishra

    Chinmay Mishra

    Data Engineering tutor

    US$15.00 /15 min
    290 reviews

    Application Developer in a wide variety of business applications. Particularly interested in server side technologies. Experienced in Java J2EE web application development including Content Management System (Alfresco), Portal Applications (Liferay and SharePoint). Experience in interfacing different business application using middleware servers (BizTalk, SSIS). Experience in Big Data Implementation using Spark, Scala, Hive, Hbase, and Pig. Experience in various domain like banking (credit card application), media & entertainment, Logistic and manufacturing. Specialties: Big Data Application implementation in Scala and spark using Horton works platform. Design and Implemented projects with data load up to 1 TB per hour with complex transformation.

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    Learn Data Engineering with Data Engineering tutors - Dennis Towers

    Dennis Towers

    Data Engineering tutor

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    Learn Data Engineering with Data Engineering tutors - Saad Aslam Khan

    Saad Aslam Khan

    Data Engineering tutor

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    Learn Data Engineering with Data Engineering tutors - Jiya Pathani

    Jiya Pathani

    Data Engineering tutor

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    Learn Data Engineering with Data Engineering tutors - Richard Bailey

    Richard Bailey

    Data Engineering tutor

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How to find Data Engineering tutors on Codementor

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Frequently asked questions

How to learn Data Engineering?

Learning Data Engineering 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 Data Engineering. 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 Data Engineering, 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 Data Engineering 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 Data Engineering through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
  • Build real-world projects: Apply your Data Engineering skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Data Engineering in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
  • Stay updated: Since Data Engineering 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 Data Engineering?

The time it takes to learn Data Engineering 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 Data Engineering 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 Data Engineering’s more advanced features and best practices.
  • Advanced level: Achieving proficiency or an advanced level of skill in Data Engineering generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Data Engineering, contributing to major projects, and possibly specializing in specific areas within Data Engineering.
  • Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Data Engineering. Engaging with new developments, tools, and methodologies in Data Engineering 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 Data Engineering tutor on Codementor?

The cost of finding a Data Engineering 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 Data Engineering 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 Data Engineering 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 Data Engineering with a dedicated tutor?

Learning Data Engineering 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 Data Engineering, 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 Data Engineering 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 Data Engineering 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 Data Engineering in a structured, supportive, and effective environment.

How does personalized Data Engineering mentoring differ from traditional classroom learning?

Personalized Data Engineering 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 Data Engineering.

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