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- Senior software architect and polyglot programmer with 18+ years of experience.
- Seasoned solutions architect with extensive experience in distributed and serverless architectures, primarily but not limited to AWS.
I have been very focused on developing products and solutions and troubleshooting existing products for decades. I would now like to use the experience I have gained in that time to mentor others and help them along their way.
I have extensive experience designing, developing, and implementing complex systems utilizing a variety of programming languages and technologies, including Java, Spring Boot, Python, Flask, Javascript, HTML, CSS, Apache Kafka, GraphQL, Github Actions, Ansible, Terraform, Docker, Docker Compose, Helm Charts, Kubernetes, Zscaler, and Google Cloud. I've led development teams and managed projects from conception to completion. My skills include software development, system architecture, and project management. I'm a pro at troubleshooting and solving problems, and I'm always eager to learn new tools and techniques that will help me do my job better.
Experience in assembling engineering, architecture, IT and cloud operations teams, acting as Head of Architecture and Cloud, with emphasis on helping to implement an organizational strategy for the companies I have worked with, with a focus on cost optimization (FinOps), improvement in product development, business process curation and leadtime improvements. Inserting the contexts of: Release Management, Infrastructure as a Service, NOC, Security and Architectures, Applications, Information, Technology and Business.
My career started in 1998, and since 2004 I have been working mainly for web applications. And during my journey I specialized in Enterprise Architecture, accumulating knowledge in the areas of software engineering (MSc. In Software Eng. from the University of Liverpool 2018), infrastructure (various courses on cloud and datacenters), and business processes (BIZBOK ®).
Some of the skills and competences that I have accumulated over time are: excellent experience in cloud architecture optimization (cost x performance), Mainframe Offload, decoupling and modernization of legacy, strategic direction of the IT area, "sewing" between company x product strategy x IT, data governance, problem solving skills and effective time management.
In addition to knowledge in:
\* TOGAF 9.2 / Zackman
\* 7R's
\* APA Framework
\* FinOps & DevSecOps for AWS, GCP/ Azure
\* Business Modeling and BPMN;
\* System Design and Architecture;
\* Mainframe Modernization / Offload
\* Data Replication & Distribuition Architectures
\* AWS (EC2,ECS,EKS,Lambda,Dynamodb,RDS,MSK,... )
\* GCP (Computer Engine, GKE, PubSub,...)
\* Event first Domain Driven Design and DDD;
\* Wide domain in reactive architecture;
\* Specialist in microservices/microsystems with Kafka, Akka, CQRS/ES and Darp
\* FastData Architecture, with hadoop, Kafka, snowflake, Talend;
\* Datamodeling, MDM, DataMart, GraphQl and all range of tools for Data Architecture;
\* Application development
\* DevOps, GitOps, ArgoProject, Flux, Docker, Jenkins, Ansible, Kubernetes, Istio;
\* SQL databases(SQL server, Oracle, MySql, ...), noSQL databases(Mongodb, Redis, Dynamo, ...).
\* Mainframe Applications (Cobol, Assembler, BD2, IMS, MQ Series,...) Modernization
With over 10 years of product management experience, I am passionate about design thinking and customer centricity. I do my best when working with cross functional teams that focus on improving user experience, and return value on the customer’s investment with our products.
I'm a PhD Candidate in Computer Science based in Germany. My journey into software engineering started in my teenage years, and I have experienced the IT industry for over a decade, including five years heavily focused on cybersecurity.
Over the years, I've taken on diverse roles, from working as a Software Developer in digital marketing agencies to working in Marine Ports before transitioning into cybersecurity. I've specialized in areas like penetration testing, red teaming, and developing security solutions, combining software engineering and cybersecurity.
See the power of our Cloud Computing Platforms tutors through glowing user reviews that showcase their successful Cloud Computing Platforms learning journeys. Don't miss out on top-notch Cloud Computing Platforms training.
“Brian helped me prepare for coding interviews at FAANG companies. He was knowledgeable, patient, and provided direct, constructive feedback. He shared valuable insights and guided me in the right direction when I made mistakes. Highly recommend!“
Kareem Washington / Feb 2025
Brian Young
Cloud Computing Platforms tutor
“Dejan is one of the best system design instructors I've ever come across. He offered a socratic teaching style which made me understand not just what components to use, but why they're optimal for given features of a system. We even went into the history of understanding certain challenges of systems. I'm looking forward to my next lesson and now feel more confident after working with him!“
Lerena Holloway / Mar 2025
Dejan B.
Cloud Computing Platforms tutor
“Very patient, knowledgeable and understanding. We were appreciative of his insights. Best of all his on-demand available during U.S. working hours was mission critical. Having Rahul as a mentor was the best investment that we made in our businesses, empowering us to complete our project efficiently but most importantly learn the skills required to become self sufficient and self sustaining. Code Mentor is the best for mentors and freelance developers.“
Rhonda Coleman / Mar 2025
Rahul Choudhary
Cloud Computing Platforms tutor
“Learning Python with Aasif was an absolute game-changer. His clarity of thought and ability to break down complex concepts into simple, digestible pieces made learning effortless. He has a rare gift for communication—patient, insightful, and always encouraging, he made every session engaging and productive. I never felt overwhelmed, only inspired to keep improving. If you're looking for a mentor who truly cares and knows how to teach, look no further!“
Ishan Bhardwaj / Mar 2025
Aasif Khan
Cloud Computing Platforms tutor
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Frequently asked questions
How to learn Cloud Computing Platforms?
Learning Cloud Computing Platforms 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 Cloud Computing Platforms. 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 Cloud Computing Platforms, 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 Cloud Computing Platforms 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 Cloud Computing Platforms through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Cloud Computing Platforms skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Cloud Computing Platforms in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Cloud Computing Platforms 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 Cloud Computing Platforms?
The time it takes to learn Cloud Computing Platforms 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 Cloud Computing Platforms 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 Cloud Computing Platforms’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Cloud Computing Platforms generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Cloud Computing Platforms, contributing to major projects, and possibly specializing in specific areas within Cloud Computing Platforms.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Cloud Computing Platforms. Engaging with new developments, tools, and methodologies in Cloud Computing Platforms 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 Cloud Computing Platforms tutor on Codementor?
The cost of finding a Cloud Computing Platforms 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 Cloud Computing Platforms 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 Cloud Computing Platforms 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 Cloud Computing Platforms with a dedicated tutor?
Learning Cloud Computing Platforms 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 Cloud Computing Platforms, 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 Cloud Computing Platforms 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 Cloud Computing Platforms 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 Cloud Computing Platforms in a structured, supportive, and effective environment.
How does personalized Cloud Computing Platforms mentoring differ from traditional classroom learning?
Personalized Cloud Computing Platforms 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 Cloud Computing Platforms.