24.06.2025 aktualisiert


verifiziert
Premiumkunde
nicht verfügbarCertified Cloud Architect / Google Developer Expert
Düsseldorf, Deutschland
Weltweit
Skills
Cloud Technologies
Google Cloud Platform (GCE, GKE, AppEngine, CloudRun, Cloud Functions, Bigtable, PubSub, Cloud Store, etc …)
Amazon Web Services (EC2, S3, ECR)
Software Development (Monoliths and Microservices)
Java (Spring, Vert.x), Go
Kafka, Redis, MySQL, Bigtable, Elastic Search
Agile (Scrum), Test Driven Development, Behaviour Driven Development (Cucumber)
Kubernetes (DevOps), Helm, Istio, Knative, Open Policy Agent
Operations
Linux (Debian/Ubuntu)
Docker, KVM/Qemu
Nginx, Apache Httpd, Dovecot, Postfix
Squid, HAProxy, Envoy
OpenVPN, IpSec / L2TP, Wireguard
MongoDB, MySQL, Redis, Kafka
Prometheus, Grafana, Icinga, Instana
Activities / Awards / Certifications
2019-today
Google Cloud Certified Professional Architect
2018-today
Google Developer Expert Cloud (one of 121 worldwide, 5 in GSA)
https://developers.google.com/community/experts/directory/profile/profile-randy_gupta
2016-today
Google Developer Group Cloud (Organizer, Speaker)
2009-today
Google Developer Group (Organizer, Speaker)
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
- Created Microservices Architecture (Multi Cloud, GCP, Azure, On-Premises incl. China) with all aspects like security, monitoring for a global order execution system (for all orders from ~60 countries including pick-and-collect) based on kubernetes, including a Data Analytics Platform with BigQuery. Successful rollout to production.
- Create and lead the Security Chapter
- Created Network Connectivity Architecture and Security Concept between the Google Cloud Platform and on-premises systems
- Created solution architecture for China on the Alibaba Cloud
- Troubleshooting for a production system. Introduced Monitoring and fine grained tracing. Reduced the error rate from 34% to 0%. Increased the performance by 900%.
Principal Lead Developer für 6 Scrum Teams
Entwicklung vom Microservices für eine Last von bis zu 700 TPS in einem hochverfügbaren System auf basis von Kubernetes.
Aufbau von Sicherheitsinfrastrukturen wie Public Key Infrastructure.
Standardisierung von Continous Integration / Deployment Pipelines und Quatlitätskontrolle / Standardisierung.
Anbindung Implementierung von Legacy Schnittstellen an eine moderne Cloud Infrastruktur.

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