distributed systems design, containerized micro-services architecture, observability and performance optimization, ML model deployment pipelines, documentation repositories

Devops, Terraform, Cloud Services, CI/CD, IAC

Sql, Hipaa, Big Data Technologies, Grafana, Hadoop, Gcp, Splunk, Gdpr, Informatica Powercenter, Azure, Database Concepts, Cloudwatch, Spark, IICS, security frameworks, metadata management tools, compliance standards, data catalogs, DevOps practices, multi cloud environments, CI CD pipelines, Data Quality tools, Informatica Data Quality IDQ, Linux Unix environments, AWS cloud services, Ataccama, Terraform Infrastructure as Code

Distributed Systems, PostgreSQL, Redis, Microservices, Replication, FastAPI, AWS, Distributed Transaction Management, Edge Computing, Container Orchestration, Python 3.11, Service Mesh Technologies, Database Sharding

Java, Gcp, Docker, Spring Boot, Spring Framework, Kubernetes, AWS, GitLab CI CD, Quarkus Framework

Databases, Java, Ml, Rust, Kotlin, Distributed Systems, Cloud Infrastructure, Containers, Python, LLM-based systems, production observability, workflow orchestration, event processing, Go, generative-AI, Caching, backend systems, queues, Scheduling

Java, Scala, Devops, Streaming, Distributed Systems, Python, query compute engines, Data Processing, SRE, Go, cloud platforms, storage lakehouse tech, security governance

Kubernetes, Terraform, Docker, Git, PowerShell, Azure DevOps

Kubernetes, automation, Containers, Java, Golang, Testing, Distributed Systems, Algorithms, Scala, data structures, production-quality scalable concurrent systems, Cloud Native technologies, code quality