Full-Stack Geospatial Data Analyst: Expert in collecting, processing, analyzing, and visualizing data via cloudprocessing in the web
Aktualisiert am 23.07.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 23.07.2024
Verfügbar zu: 100%
davon vor Ort: 10%
Python
Svelte
Geodatenverarbeitung
R
Shiny
Kubernetes
Visualisierung
ESRI
mapbox
CI/CD
German
English

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2021 - today: Dashboarding with R Shiny


Role: SENIOR FULL STACK DEVELOPER

Customer: European Central Bank, Frankfurt (Germany)


Tasks:

At the ECB my team was developing interactive reports for financial data and I further integrated them in a microservice cluster.

  • Dashboarding with R Shiny
  • Developing ETL pipelines
  • Kubernetes Deployment of Shiny Applications
  • CI/CD tooling


2021 - today: Developing spatial ETL pipelines

Role: DATA AND DEVOPS ENGINEER

Customer: German Federal Foreign Office, Berlin (Germany)


Tasks:

For the PREVIEW project I was engineering spatial data a global scale, developing a spatial web application and the deployment of this tool.

  • Developing spatial ETL pipelines
  • Analysing spatial data
  • Svelte frontend development
  • Deployment pipeline


2021 - today: Developing spatial ETL pipelines


Role: FOUNDER

Customer: on request


Tasks:

In 2021 I co-founded kaldera, a company providing spatial engineering and analysis and web development.

  • Developing spatial ETL pipelines
  • Analysing spatial data
  • R Shiny development
  • Svelte development
  • Customers: Die Zeit, Der Spiegel, Citizen for Europe, physalia, X-FAB


2021 - 2022: PREVIEW Project


Role: SENIOR FULL STACK DEVELOPER

Customer: Bundesdruckerei Group, Berlin (Germany)


Tasks:

At the Bundesdruckerei we were fast prototyping R Shiny applications ranging from spatial topics to financial ones.

  • PREVIEW Project (German Federal Foreign Office)
  • Spatial analyses und visualisation
  • Dashboarding with R Shiny


2021 - 2021: Kubernetes Deployment of Shiny Applications


Role: DEVOPS ENGINEER

Customer: BigOmics Analytics, Lugano (Switzerland)


Tasks:

My task at BigOmics was to streamline the CI/CD process of their product and further develop build pipelines.

  • Shiny
  • Kubernetes Deployment of Shiny Applications


2019 - 2021: Dashboarding with R Shiny

Role: FULLSTACK DEVELOPER

Customer: indblik.io, Bad Kissingen (Germany)


Tasks:

At indblik we were developing a human resources dashboard for the Deutsche Bahn AG.

  • Dashboarding with R Shiny

Aus- und Weiterbildung

Aus- und Weiterbildung

2013 - 2016:

Data Analysis

M.Sc.

University of Göttingen


2010 - 2013:

BioGeo Sciences

B.Sc.

University of Koblenz

Kompetenzen

Kompetenzen

Top-Skills

Python Svelte Geodatenverarbeitung R Shiny Kubernetes Visualisierung ESRI mapbox CI/CD

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • I have many years of experience developing dashboards - from R Shiny, to Python Streamlit and more recently Svelte. With my background in data analysis I was interested from the start on how to turn data into insight, which means for me going from backend to frontend. 
  • Cloud orchestration, developing data pipelines and building interactive charts are all parts of my daily tasks and what I really enjoy doing.


DATASCIENCE

  • SKLEARN
  • M 3
  • KERAS
  • NETLOGO


DATAVISUALISATION

  • GGPLOT 2
  • TABLEAU
  • D3


DEVOPS

  • CI/CD + BUILD AUTOMATION
  • KUBERNETES


GIS

  • LEAFLET
  • ESRI (ENTERPRISE)
  • QGIS
  • GDAL

Programmiersprachen

R
PYTHON
TYPE/JAVASCRIPT

Datenbanken

POSTGRES

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2021 - today: Dashboarding with R Shiny


Role: SENIOR FULL STACK DEVELOPER

Customer: European Central Bank, Frankfurt (Germany)


Tasks:

At the ECB my team was developing interactive reports for financial data and I further integrated them in a microservice cluster.

  • Dashboarding with R Shiny
  • Developing ETL pipelines
  • Kubernetes Deployment of Shiny Applications
  • CI/CD tooling


2021 - today: Developing spatial ETL pipelines

Role: DATA AND DEVOPS ENGINEER

Customer: German Federal Foreign Office, Berlin (Germany)


Tasks:

For the PREVIEW project I was engineering spatial data a global scale, developing a spatial web application and the deployment of this tool.

  • Developing spatial ETL pipelines
  • Analysing spatial data
  • Svelte frontend development
  • Deployment pipeline


2021 - today: Developing spatial ETL pipelines


Role: FOUNDER

Customer: on request


Tasks:

In 2021 I co-founded kaldera, a company providing spatial engineering and analysis and web development.

  • Developing spatial ETL pipelines
  • Analysing spatial data
  • R Shiny development
  • Svelte development
  • Customers: Die Zeit, Der Spiegel, Citizen for Europe, physalia, X-FAB


2021 - 2022: PREVIEW Project


Role: SENIOR FULL STACK DEVELOPER

Customer: Bundesdruckerei Group, Berlin (Germany)


Tasks:

At the Bundesdruckerei we were fast prototyping R Shiny applications ranging from spatial topics to financial ones.

  • PREVIEW Project (German Federal Foreign Office)
  • Spatial analyses und visualisation
  • Dashboarding with R Shiny


2021 - 2021: Kubernetes Deployment of Shiny Applications


Role: DEVOPS ENGINEER

Customer: BigOmics Analytics, Lugano (Switzerland)


Tasks:

My task at BigOmics was to streamline the CI/CD process of their product and further develop build pipelines.

  • Shiny
  • Kubernetes Deployment of Shiny Applications


2019 - 2021: Dashboarding with R Shiny

Role: FULLSTACK DEVELOPER

Customer: indblik.io, Bad Kissingen (Germany)


Tasks:

At indblik we were developing a human resources dashboard for the Deutsche Bahn AG.

  • Dashboarding with R Shiny

Aus- und Weiterbildung

Aus- und Weiterbildung

2013 - 2016:

Data Analysis

M.Sc.

University of Göttingen


2010 - 2013:

BioGeo Sciences

B.Sc.

University of Koblenz

Kompetenzen

Kompetenzen

Top-Skills

Python Svelte Geodatenverarbeitung R Shiny Kubernetes Visualisierung ESRI mapbox CI/CD

Produkte / Standards / Erfahrungen / Methoden

Profile:

  • I have many years of experience developing dashboards - from R Shiny, to Python Streamlit and more recently Svelte. With my background in data analysis I was interested from the start on how to turn data into insight, which means for me going from backend to frontend. 
  • Cloud orchestration, developing data pipelines and building interactive charts are all parts of my daily tasks and what I really enjoy doing.


DATASCIENCE

  • SKLEARN
  • M 3
  • KERAS
  • NETLOGO


DATAVISUALISATION

  • GGPLOT 2
  • TABLEAU
  • D3


DEVOPS

  • CI/CD + BUILD AUTOMATION
  • KUBERNETES


GIS

  • LEAFLET
  • ESRI (ENTERPRISE)
  • QGIS
  • GDAL

Programmiersprachen

R
PYTHON
TYPE/JAVASCRIPT

Datenbanken

POSTGRES

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