freiberufler Senior Cloud Engineer auf freelance.de

Senior Cloud Engineer

offline
  • 90€/Stunde
  • 1020 Wien
  • DACH-Region
  • nl  |  de  |  en
  • 27.11.2023

Kurzvorstellung

As a senior Cloud Engineer with a strong background in Statistics, I have experience with Machine Learning, Data Engineering and DevOps in the cloud environment (Azure, AWS).

Qualifikationen

  • Amazon Web Services (AWS)3 J.
  • Big Data
  • Cloud (allg.)2 J.
  • Data Science3 J.
  • Data Warehousing1 J.
  • DevOps1 J.
  • DevOps (allg.)2 J.
  • Iaas
  • Infrastrukturarchitektur2 J.
  • Kubernetes

Projekt‐ & Berufserfahrung

Data Engineer
Kundenname anonymisiert, Wien
1/2023 – offen (2 Jahre)
IT & Entwicklung
Tätigkeitszeitraum

1/2023 – offen

Tätigkeitsbeschreibung

Responsible for implementing architecture of forecasting platform. Designed architecture using AWS services (Openshift, Lambda,
ECR, VPC, EC2), deployed with Terraform. Additionally, planned migration to Azure. Successfully rolled out to the entire group,
ensuring availability and scalability, aligning with best practices in the DevOps domain.

Eingesetzte Qualifikationen

Data Science, DevOps (allg.), Cloud (allg.), Infrastrukturarchitektur, Amazon Web Services (AWS)

Data Engineer
Kundenname anonymisiert, Wolfsburg
1/2022 – 12/2022 (1 Jahr)
Automobilindustrie
Tätigkeitszeitraum

1/2022 – 12/2022

Tätigkeitsbeschreibung

All round data engineer and administrator for Tableau solution. Leveraged Azure Databricks, Azure DevOps, Spark to establish efficient
processes for E2E data pipelines. Successfully delivered high‑quality data solutions to 10k+ users while adhering to project timelines
and specifications.

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Data Warehousing, DevOps, Microsoft Azure, Server Administration

DevOps Engineer
Kundenname anonymisiert, München
6/2021 – 12/2021 (7 Monate)
Automobilindustrie
Tätigkeitszeitraum

6/2021 – 12/2021

Tätigkeitsbeschreibung

Responsible for implementing architecture of forecasting platform. Designed architecture using AWS services (Openshift, Lambda,
ECR, VPC, EC2), deployed with Terraform. Additionally, planned migration to Azure. Successfully rolled out to the entire group,
ensuring availability and scalability, aligning with best practices in the DevOps domain.

Eingesetzte Qualifikationen

DevOps, Cloud (allg.), Infrastrukturarchitektur

Data Scientist
Quinyx, Rotterdam
1/2020 – 10/2020 (10 Monate)
IT & Entwicklung
Tätigkeitszeitraum

1/2020 – 10/2020

Tätigkeitsbeschreibung

Improved AI solution and provided clients consultation about our products based on their unique needs and requirements. Rolled out
meta ML forecasting solution, achieving an average increase of accuracy of 6 % in our forecasting product.

Eingesetzte Qualifikationen

Data Science, Gradient Boosting, Maschinelles Lernen, Statistiken

Data Scientist
KNAB, Amsterdam
7/2019 – 1/2020 (7 Monate)
Finanzdienstleister
Tätigkeitszeitraum

7/2019 – 1/2020

Tätigkeitsbeschreibung

Developed recommender system for cross‑ and up‑sell opportunities for B2B customers in banking products. Performed data
exploration, identified customer segments and enabled accurate product recommendations and targeted advertising based on
customer preferences and behavior.

Eingesetzte Qualifikationen

Data Science, Gradient Boosting, Maschinelles Lernen, Jira

Ausbildung

M. Sc.
Ausbildung
Erasmus University Rotterdam
2019
B. Sc.
Ausbildung
Delft University of Technology
2018

Weitere Kenntnisse

Certificates:
- Databricks Certified Associate Developer for Apache Spark 3.0
- CKA: Certified Kubernetes Administrator
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Administrator Associate
- ÖSD Deutsch Zertifikat (C1)} % Language

OS and Programming Languages:
Linux, macOS, Windows, Python, SQL, R, Java

Data Engineering:
Databricks (certified developer), Apache Spark, Airflow, PostgreSQL, MySQL

Cloud:
AWS (RDS, Glue, Lambda, CF, EC2, ECR), Azure (Data Factory, Synapse, Databricks, Functions)

DevOps:
Terraform, Cloudformation, Docker, Kubernetes (CKA), Gitlab, bitbucket, Prometheus, Grafana, CI/CD, Scrum

Data Science
LightGBM/XGBoost, ANN/CNN, Bayesian methods, logistic/linear regression, clustering algorithms

Libraries:
Spark, NumPy, Pandas, PyTorch, Tensorflow, LightGBM, ChatGPT, Scikit-learn, Spark, Matplotlib

Soft Skills:
Communication, Collaboration, Continuous Learning, Time Management

Persönliche Daten

Sprache
  • Deutsch (Fließend)
  • Englisch (Fließend)
  • Niederländisch (Muttersprache)
Reisebereitschaft
DACH-Region
Arbeitserlaubnis
  • Europäische Union
  • Schweiz
Home-Office
bevorzugt
Profilaufrufe
368
Alter
27
Berufserfahrung
5 Jahre und 5 Monate (seit 07/2019)
Projektleitung
1 Jahr

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