Professional Summary
- IT Professional with 22 years of progressive experience in IT Architecture, software engineering, technology leadership, product development, DevOps engineering, cloud computing, business intelligence & analytics and focus on next generation cloud deployment and streaming architectures.
- Currently focused on cloud architecture and engineering unusually complex legacy system using Modern Data Platform, Cloud Enablement and provide technical guidance and solutions that are highly creative work in an Agile and DevOps software development environment.
- Microservice Architect/Cloud Engineer with expertise in multi-year strategy to migrate enterprises to microservices architecture, Streaming Platform using Emerging Technologies and other opensource software’s interacting through a combination of REST or message brokers with the large teams of up to 100+ members.
- Spearhead Innovation Team; engineered the most challenging industry solutions like Pay with Points Integrations, Mobile Payments and Tokenization, HealthCare Platform Acceleration strategy using cutting edge technical solutions.
- Expertise with problem triage, categorization of enhancement, root cause analysis and ability to duplicate a problem and Lead the team during the crisis.
- Strong understanding of Agile, SAFe and Kanban and a Certified Scrum Master, Test-driven development and CI/CD, a Certified Kubernetes App Developer with expertise in Cloud based deployments, build and deployment utilities, and best coding practices.
- Experienced people manager in managing global teams using on-shore, off-shore, and matrix team’s model.
Promotes the adoption and usage of emerging technologies: Kubernetes, Knative, Serverless, AWS, Azure AKS, GCP, Anthos, Dockers, confluent.io, Envoy, isito, CloudFoundry, Spring Integration, Apache Kafka, Kafka Stream, Spring Boot, Streaming API, Apigee, Kong, gRPC, OpenAPI, GoLang, Node.js, Splunk, prometheus, Grafana , Kotlin JVM, Java 8, Gradle, Jenkins, GraphQL, Python, CockroachDB, Cassandra, Postgres, MongoDb and ElasticSearch.