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.
Implementing Consumer Privacy Act Compliance implies stepping into the deep end of complexity as it means integrating data across multiple sources and fields. There is a conscious focus on completion speed and non-negotiable highest standards of accuracy across all data flow touchpoints.
One of the largest global banks relied on Maveric’s data tech team to successfully carry out a large scale integration and validation of Customer data for CCPA compliance across its 7 million in-scope customers.
Read how we solved the complex challenge by leveraging our domain model enabled data & API validation to execute the project well inside of the agreed delivery timelines.
