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I help mentees who need ASAP Assistance, Long-Term Association and I am an expert professional mentor with over 10 years of expertise in data analysis, micro frontend, and micro service architecture, as well as a strong foundation in HTML, JavaScript, SCSS, react, angular, vue, node.js, git. Skilled in CI/CD, machine learning(Python), & developing iOS/hybrid applications, performance based scripting in C++, Web Assembly etc. I am passionate about sharing knowledge and fostering growth in others. I bring a collaborative approach to mentoring, prioritizing clear communication, hands-on learning, and continuous improvement. Known for quickly adapting to and implementing new technical solutions, I guide mentees in project management, troubleshooting, and delivering high-quality outcomes within set timeframes, empowering them to excel in their careers.
I have experience as a Data Engineer, Machine Learning Engineer, Organization/Process designer, and Team Leader. I'm looking for part-time work while pursuing personal projects connected both to software and organizational theory.
My focus is on Python and Scala, even though I have professional experience in several different languages that I can brush up on if needed.
I have plenty of experience in translating business needs or research code into actionable requirements. This includes first and foremost effective communication skills, mediation, and facilitation of meetings. If it's of interest, I can bring to your organization more effective meeting practices and review your process and practices around software development and decision making.
I'm also proficient in prototyping and software for internal use, using no-code tools like Notion or Airtable and automation suites like Zapier or n8n.
I'm a full stack software engineer, technical writer and computer science educator. I enjoy testing, debugging, refactoring, application design, maintaining projects and teaching.
My primary technologies are JavaScript, React, Express (PERN stack), Playwright, Puppeteer, Python, Flask and C. See my [Stack Overflow tags](https://stackoverflow.com/users/6243352/ggorlen?tab=tags) for more technologies ordered roughly by my interest and experience.
In addition to Stack Overflow, I'm active on [Code Review Stack Exchange](https://codereview.stackexchange.com/users/171065/ggorlen). Feel free to peek at a few of these reviews to get a sense of the insights I can offer your code.
For further information, visit my [Codementor FAQ](https://ggorlen.glitch.me/codementor).
I'm looking forward to hearing about your project!
_<sub>Profile picture by the wonderful [Emily Huston](https://emilyhuston.github.io) ❤️</sub>_
Started programming at age 12 in 1988 on a Commodore VIC-20. Extremely adept at debugging of all kinds, performance optimization, databases, embedded systems, operating systems, networking, testing and automation across a wide variety of languages, APIs and frameworks, high level as React/Typescript and as low level as knowing several CPUs assembly languages and designing microcontroller PCBs. It is way too much to just enumerate. Formerly worked at Microsoft in Windows Protocols and Engines team.
Working in the IT sector for more than 10 years.
With over 10 -years of freelancing and professional experience taught me all kinds of frameworks and languages, ranging from React, Angular, Vue, Node js, Express js, React Native, Redux, Rx JS, JavaScript, Typescript, WordPress, PHP, MySQL, MongoDB, Firebase, Sqlite, Postgresql, ES5+, Python3, Machine Learning, Deep Learning, RNN, CNN, C/C#/C++, .Net, Assembly, VBA, VB, Excel Macro, Java, Spring Boot Micro-services, R, Shiny, STATA, MATLAB, Google Sheet, App Script, Bubble io, etc.
Over my long career, I have come across all kinds of challenges and gained vast experience with different kinds of industries like portals, medical industry, perception exercise, employee management, etc.
I have good experience with frontend development using React JS along with Typescript, Firebase, GraphQL, React Native, Native Script, React, Material UI, Ionic, Node.js, Web Sockets, and real-time communication.
I have also worked on containerization technologies like Kubernetes, Docker, AWS, GCP, Azure etc.
I am very good with backend technologies as well like Java Spring boot, microservices, MySQL, Postgres, Elasticsearch, AWS/Google integration.
Please contact me to get the result done in a professional way.
• Expert full-stack Python & JavaScript developer
• Full DevOps: project architecture to production deployment at scale (whether VMs, Docker containers, cloud services, or on-prem)
• Outstanding trouble-shooter and "OMG! Everything is on fire! HALP!!" first responder
• Strong web app, data structures, data science, and visualization skills
• Enjoy complex integration and automation challenges
• Love mentoring. Half-price ($60/hr) for all genuine students
See the power of our Data Integration tutors through glowing user reviews that showcase their successful Data Integration learning journeys. Don't miss out on top-notch Data Integration training.
“The lesson was very informative. We covered creating an Okta account and using the dashboard to setup an app, creating user accounts and logging them in by calling endpoints, and login page with redirect url to app home page.“
Derek Smith / Nov 2024
John Oladele
Data Integration tutor
“Vijaya was so helpful! He helped me with a Power Automate flow that I had been stuck on for a couple of days, and helped me to get it working perfectly in a couple of hours. Very familiar with Power Automate, and very detail oriented / makes sure that everything is working before leaving you.“
Ali / Nov 2024
Vijaya Bhaskar
Data Integration tutor
“Olamide was a tremendous help. Even though I needed a document produced in French, he helped me understand all the complex data, translated it for me, and perfectly understood the problem I presented. It was truly a pleasure working with him, and I can wholeheartedly recommend him. Thank you very much for your expertise and knowledge.“
Alex9u / Nov 2024
Olamide Soyoye
Data Integration tutor
“I have worked with Warith for the past 3 months. I feel that I have gained at least 2 years of solid real-life experience in VanillaJS, React, Node and MongoDB. Warith is a solid lead developer and an exceptional mentor and coach. He combines advanced tech knowledge with mature softskills to guide you as a mentee. I will continue to work with Warith.“
carlos / Nov 2024
Warith Omoyele
Data Integration tutor
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Arrange regular session times with Data Integration tutors for one-on-one instruction.
Frequently asked questions
How to learn Data Integration?
Learning Data Integration 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 Integration. 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 Integration, 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 Integration 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 Integration through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Data Integration skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Data Integration in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Data Integration 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 Integration?
The time it takes to learn Data Integration 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 Integration 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 Integration’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Data Integration generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Data Integration, contributing to major projects, and possibly specializing in specific areas within Data Integration.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Data Integration. Engaging with new developments, tools, and methodologies in Data Integration 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 Integration tutor on Codementor?
The cost of finding a Data Integration 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 Integration 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 Integration 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 Integration with a dedicated tutor?
Learning Data Integration 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 Integration, 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 Integration 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 Integration 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 Integration in a structured, supportive, and effective environment.
How does personalized Data Integration mentoring differ from traditional classroom learning?
Personalized Data Integration 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 Integration.