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Experienced Engineering Manager with a robust background in cloud architecture, agile methodologies, artificial intelligence & automation. Adept at leading engineering teams to deliver high-quality software solutions, optimizing system performance, and fostering a culture of continuous improvement. Expert in scalable multi-application cloud based reliability engineering, debugging, security and uptime management.
I have over 8+ years of full-stack experience building scalable and reliable systems using **[ASP.NET](http://asp.net/) Core**, **React with TypeScript**, and **AWS**. In my current role as a Lead Software Engineer at Cimpress, I’ve designed and built multiple microservices from scratch in **.NET Core**, and more recently upgraded services to follow **.NET 8 standards**, improved middleware pipelines, and performance optimizations.
On the frontend, I’ve worked extensively with **React + TypeScript**, building components, architecting state management, and creating production-ready UI applications deployed globally. I collaborated closely with designers and product teams while ensuring a strong typing system using TypeScript to reduce runtime issues and improve maintainability.
On the cloud side, I’ve deployed and maintained services on **AWS** using **Elastic Beanstalk, EC2, S3, CloudFront, RDS, Lambda, Route53, and CloudWatch**. I’ve implemented CI/CD pipelines, improved monitoring and alerting, and introduced proactive tracking using dashboards and structured logging via **CloudWatch, Kibana, and Serilog**.
**Code quality and scalability** have consistently been central to my work:
* I enforce clean architecture principles, separation of concerns, SOLID, and domain-driven thinking where appropriate.
* I conduct and lead code reviews with a strong focus on readability, simplicity, and maintainability.
* I use **unit testing, integration testing, mocking frameworks, and automation** to ensure reliability before code reaches production.
* I migrated a major enterprise product from Telerik ORM to **EF Core**, which boosted performance by 40% and reduced long-term maintenance cost.
* I evaluated multiple load-testing tools and standardized **k6** for performance and stress testing of mission-critical microservices.
* I’ve designed services with async patterns, caching, and proper DB indexing to support high load and low latency requirements.
* I work closely with product and stakeholders to identify potential risks early and design scalable, fault-tolerant solutions.
I’m comfortable taking ownership end-to-end—design, build, test, deploy, monitor—and I enjoy collaborating with frontend-heavy engineers as well. At the same time, I can work independently, communicate clearly, and ship improvements quickly in a remote environment.
Overall, my experience aligns well with this role’s need for strong backend engineering in **ASP.NET 8**, paired with solid React/TypeScript experience, AWS cloud expertise, and a strong focus on correctness for high-stakes applications
I'm Mukesh! I've been writing code for last 12 years. I've done bit of everything in my career, from C, C++, Python, Javascript, NodeJS, Django, Flask to devops work in Kubernetes, Terraform, Packer, Jenkins, Ansible, Shell etc. I love debugging and solving problems.
I am a seasoned software engineer with over 15 years of experience, having worked with both small startups and large tech companies. My daily work involves designing and maintaining large-scale systems. I specialize in system design, real-time systems, cloud computing, and both backend and frontend development. I am proficient in multiple programming languages, including C#, Java, JavaScript/TypeScript, and Ruby, and I have experience with frameworks such as React, Redux, Angular, and AngularJS. I hold a degree in software engineering and have a proven track record of leading teams and mentoring colleagues.
Hey, I'm Gareth. I love teaching and most things Python. I have general experience in problem solving, building scalable solutions, and can provide specific or general advice.
See the power of our Amazon Cloudwatch tutors through glowing user reviews that showcase their successful Amazon Cloudwatch learning journeys. Don't miss out on top-notch Amazon Cloudwatch training.
“Calvin is a patient and talented mentor. He gets right to the points and builds up the concepts to the point where you feel comfortable. He is willing to take an extra mile for researching the concept to get the best solution.
Thnak you Calvin.“
sri / Feb 2018
Calvin Brown
Amazon Cloudwatch tutor
“I had an excellent system design session with Dejan today. He broke down the core principles of approaching system design interviews in a way that clicked for me. We discussed how to structure answers under time pressure, what common pitfalls to avoid, and how to prioritize clarity over complexity.
Dejan also helped me identify which areas I should focus on next. We even dug into how one might architect something like YouTube, which made the concepts feel much more real and applicable.
He’s clearly deeply knowledgeable, but just as importantly, he knows how to explain things in a digestible and actionable way. Highly recommended if you’re serious about leveling up your system design skills.“
Mo Gedi / Nov 2025
Dejan B.
Amazon Cloudwatch tutor
“Ashish is always very knowledgable on Cypress Automation and frameworks in general and has helped me tremendously in setting up frameworks and maintaining them. Highly recommend him for any of your IT needs.“
Nobel dastan / Nov 2025
Ashish Jaishwal (QA Test Automation)
Amazon Cloudwatch tutor
“He is very good with the tech stack and great at debugging. He clearly explains what works and what doesn’t in a particular scenario. He is patient, approachable, and always willing to help. His guidance has greatly improved my understanding of complex topics. He also offers valuable insights on best practices. Overall, he is an excellent mentor who creates a positive learning environment and consistently supports growth and skill development“
kumar p / Nov 2025
Olajide Olanrewaju
Amazon Cloudwatch tutor
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Frequently asked questions
How to learn Amazon Cloudwatch?
Learning Amazon Cloudwatch 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 Amazon Cloudwatch. 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 Amazon Cloudwatch, 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 Amazon Cloudwatch 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 Amazon Cloudwatch through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Amazon Cloudwatch skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Amazon Cloudwatch in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Amazon Cloudwatch 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 Amazon Cloudwatch?
The time it takes to learn Amazon Cloudwatch 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 Amazon Cloudwatch 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 Amazon Cloudwatch’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Amazon Cloudwatch generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Amazon Cloudwatch, contributing to major projects, and possibly specializing in specific areas within Amazon Cloudwatch.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Amazon Cloudwatch. Engaging with new developments, tools, and methodologies in Amazon Cloudwatch 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 Amazon Cloudwatch tutor on Codementor?
The cost of finding a Amazon Cloudwatch 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 Amazon Cloudwatch 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 Amazon Cloudwatch 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 Amazon Cloudwatch with a dedicated tutor?
Learning Amazon Cloudwatch 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 Amazon Cloudwatch, 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 Amazon Cloudwatch 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 Amazon Cloudwatch 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 Amazon Cloudwatch in a structured, supportive, and effective environment.
How does personalized Amazon Cloudwatch mentoring differ from traditional classroom learning?
Personalized Amazon Cloudwatch 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 Amazon Cloudwatch.