Senior Big Data / DevOps / CloudOps Architect
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- 23769 Burg auf Fehmarn
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- de | en
- 09.02.2024
Kurzvorstellung
Ich habe insgesamt 37 Jahre Erfahrung in der Softwareentwicklung. Mein Schwerkpunkt ist Big Data, DevOps und CloudOps.
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Qualifikationen
Projekt‐ & Berufserfahrung
10/2018 – 6/2019
Tätigkeitsbeschreibung
Migration of a Java monolith to an AWS distributed system
A large Java Spring Boot monolith was migrated to an AWS distributed system. Back-end rest services were migrated to ECS services for front-end access. Other functions were implemented in Lambda and chained together using SQS.
The CICD-processes for the build and deployment processes have been implemented in Jenkins. The deployment of the AWS resources were described in Terraform (> 250 resources). The regression testing of feature branches has been implemented.
The project was implement by 3 team, 2 development teams and 1 cross-functional team. I was part of the cross-functional team for implementing DEVOPS
Roles:
● Cloud Ops Developer
Technologies:
● AWS
■ ECS (EC2 + Fargate)
■ Lambda
■ SQS
■ SNS
■ RDS
■ Redis
■ EFS
■ EC2
■ S3
■ CloudWatch
■ CloudFormation
○ Terraform
○ Jenkins
DevOps, Java (allg.)
8/2018 – 9/2018
Tätigkeitsbeschreibung
Prototype Predictive Maintenance
Earlier this year we’ve developed a prototype for a German Car Producer who wants to use car information to predict maintenance needs of the cars. The system contained MicroServices implemented in Spring Boot. It gathered reference input data from legacy systems via Rest API. At that point of time the system was deployed to Pivotal Cloud Foundry. GitLab was the CI/CD system used.
The MicroServices are now containerized and deployed to AWS EKS and / or AWS Lambda.
Roles:
● Cloud Ops Developer
Technologies:
● REST API
● Spring Boot
● Hadoop
● AWS EKS
● AWS Lambda
● GitLab
DevOps (allg.)
6/2018 – 10/2018
Tätigkeitsbeschreibung
Car Measurement File Management
The automotive supplier wants to build a product to manage car measurement files. The main architecture’s feature is Apache Nifi from Hortonworks Data Flow (HDF). A test system needed to be setup. JMeter is used for performance test execution. Performance results are stored in elasticsearch. KPI Dashboards are implemented in Kibana. The entire application was an IOT application.
Roles:
● Big Data Architect
Technologies:
● Java
● Hortonworks (HDP & HDF)
● Hadoop
● Nifi
Big Data
Weitere Kenntnisse
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
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