Mitarbeiter-Profil eines IT-/Engineering-Dienstleisters

Senior Big Data und DevOps Architect und Engineer

verfügbar ab
01.01.2020
verfügbar zu
100 %
davon vor Ort
100 %
PLZ-Gebiet, Land

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Österreich

Schweiz

Kontaktwunsch

Ich möchte bevorzugt für Projekte in diesen Einsatzorten kontaktiert werden.

Projekte

10/2018 - 06/2019

9 Monate

DEVOPS & Cloud Ops Architect / Developer

Rolle
Architect / Developer
Einsatzort
Kiel
Projektinhalte

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 DeveloperTechnologies: 
  • AWS
      • ECS (EC2 + Fargate)
      • Lambda
      • SQS
      • SNS
      • RDS
      • Redis
      • EFS
      • EC2
      • S3
      • CloudWatch
      • CloudFormation
    • Terraform

Jenkins

Kenntnisse

ECS

EC2

Fargate

Lambda

SQS

SNS

RDS

Redis

EFS

EC2

S3

CloudWatch

CloudFormation

Produkte

IntelliJ

Jenkins

Confluence

Jira

08/2018 - 09/2018

2 Monate

Cloud Ops Architect Developer at Deep Data Ocean

Rolle
Architect / Developer
Kunde
Deep Data Ocean
Einsatzort
Fehmarnn
Projektinhalte

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 DeveloperTechnologies:
  • REST API
  • Spring Boot
  • Hadoop
  • AWS EKS
  • AWS Lambda
  • GitLab
Kenntnisse

Java Spring Boot

AWS

EKS

Lambda

GitLab

06/2018 - 08/2018

3 Monate

Big Data Architect at an Automotive Supplier

Projektinhalte

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
Kenntnisse

Java

Hortonworks

HDP

HDF

Hadoop

Nifi

03/2018 - 06/2018

4 Monate

Car information Pipelines into Data Lake

Rolle
Big Data Architect
Projektinhalte

Car information Pipelines into Data Lake A German car manufacturer gathers information from their cars. They are delivered via a rest-endpoint. The raw input files in Google’s binary ProtoBuf format. The files are feeded in Kafka with a Kafka producer that reads the rest-endpoint and delivers Kafka Topic. The raw files are split into data formats using a custom Kafka Source and delivered via Flume into HDFS landing area. Oozie workflows are used to update the data in Hive and Impala and pushing data into master Impala database. The system has reached production grade.

Roles:

  • Big Data Architect 

Technologies:

  • Hadoop
  • Cloudera
  • Kafka
  • Flume
  • Hive
  • Impala
  • Oozie
  • ProtoBuf
  • Java
  • Bash
  • Linux Shell Scripting
Kenntnisse

Hadoop

Cloudera

Kafka

Flume

Hive

Impala

Oozie

ProtoBuf

Java

02/2018 - 03/2018

2 Monate

Prototype Predictive Maintenance

Rolle
Architekt und Developer
Projektinhalte

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. The system was deployed to Pivotal Cloud Foundry

Roles:

  • Big Data Developer

Technologies: 

  • Java
  • REST API
  • Spring Boot
  • Hadoop
  • Kafka
  • Pivotal Cloud Foundry
Kenntnisse

Java

Spring Boot

Hadoop

Kafka

Pivotal Cloud Foundry

01/2018 - 02/2018

2 Monate

Visitor counting for shops

Rolle
Data Scientist
Projektinhalte

Clothing shops want to know the conversion rate (revenue per visitor). The system extends normal counting system by identifying the gender of the visitors. The image classification is done by YOLO 2

Roles:

  • Data Scientist

DeveloperTechnologies: 

  • YOLO 2
Kenntnisse

YOLO 2

01/2018 - 02/2018

2 Monate

Neural Network Playground

Rolle
ta Scientist, Developer
Projektinhalte

TensorFlow Playground is an interactive visualization of neural networks, written in typescript using d3.js. It contains a tiny neural network library that meets the demands of this educational visualization. You can simulate, in real time, in your browser, small neural networks and see the results. Node.js was used to run the playground on the workstation.

Kenntnisse

TensorFlow

TypeScript

Node.js

01/2018 - 02/2018

2 Monate

Text recognition on pharmaceutical prescription papers

Rolle
Data Scientist, Developer
Projektinhalte

The text on pharamceutical prescription papers was to be OCRed. For this we’ve implemented a convolutional neural network using Tensorflow and Python. The scanned images were trained against a part of the data set and then tested against the rest.

 

Kenntnisse

TensorFlow

Python

Kompetenzen

Datenbanken
RDS

Produkte / Standards / Erfahrungen
AWS
Confluence
EC2
Hadoop
Hive
IntelliJ
Jenkins
Jira
Node.js
Redis
TensorFlow

Programmiersprachen
Java
Python
TypeScript

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