Dan has an extensive experience in DevOps, Site Reliability Engineering, Cloud Infrastructure Management, and Chaos Engineering. He is a Certified DevOps and Chaos Engineer in AWS, Azure, and GCP. As a DevOps Architect, he designs, architects and implements CI/CD with DevOps principles by using various DevOps tools like Git, Docker, Podman, Ansible, Kubernetes, OpenShift, Istio and Terraform in a hybrid/multi-cloud environment. He also possesses various domain expertise like eGaming, Retail, Banking, e-commerce, R&D, Mobility Communications Networks, and AI Connected Cars. If you are interested in becoming a DevOps/SRE/Chaos Engineer and you are interested in learning more about it, he can help you.
Years of Experience: 9 Years
What does being a mentor means to him:
Dan is passionate about building capabilities within each individual and believes that there is no end to learning. He spends his time learning and growing and helps others grow who are interested in becoming the next-gen DevOps/SRE/Chaos Engineering with AI/MLOps.
What is his advice to someone considering a future in technology?
DevOps, Site Reliability Engineering and Choas Engineering are just bewildering, with these skills in your belt you can work in a wide range of industries in Tech and Engineering. You can master these technical skills to accomplish amazing things.
Key strengths: Artificial Intelligence for IT Operations (AIOps), Machine Learning Operations (MLOps), DevOps, Python, Chaos Engineering, and Site Reliability Engineering.
Data-driven approaches has become an industry standard. Furthermore, the power of analytics empowers decision-making capabilities. A valley funded patent technology firm enabled advanced analytics to build large voluminous data repository from the patents across US & EU.
Maveric’s datatech team worked with the firm to develop a data cleansing framework, which could assist them to drawing valuable insights from unstructured data sources. The data stores were powered by Mongo & MySQL on the cloud platform using AWS and Azure.
Learn how Maveric’s data solution team explored the scenario with our patent analytics solution to support the decision-making process. Also, the model was replicated and is currently being used by 2 of the fortune 50 customers.
