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(Updated 2023-08-04)Data Engineer
Stuttgart, Germany
Native German, Fluent English, Beginner French
- CI/CD, Testing, Kubernetes/Docker
- 5+ years of experience setting up scalable ETL pipelines
- Data Streaming / Kafka / Spark / Airflow / AWS
Skills (33)
Data Pipelines
Hadoop
ETL
Kafka Streams
Data Pipeline
Data Streaming
DATA INTEGRATION
Python
Big Data
Kafka
APACHE KAFKA
Java
OOZIE
Hortonworks Data Platform
APACHE HADOOP OOZIE
MARKETING AUTOMATION
SPLUNK
TEAM PLAYER
LOGGING
METRICS
WELDING
DynamoDB
AMAZON DYNAMODB
TOOLING
ANALYTICS PLATFORM
SCHEDULING
BEST PRACTICES
CUSTOMER RELATIONS
Transaction Data
RETAIL
ADJUSTMENTS
WORKFLOW
Apache
Summary
● Data Engineer with 5 years of practical experience developing scalable ETL pipelines and data
processing applications, both batch and real-time streaming.
● Developing software with best practices in mind, striving for reliable and maintainable
solutions.
● Team player, loving to work in agile environments solving technological challenges and
delivering business value as early as possible at the same time.
Tech nologies Overview
Programming Languages Python, Java, Scala
Data tech nologies Spark (DataFrames / DStreams / Structured Streaming),
Kafka (Kafka Streams, Kafka Producer / Consumer APIs,
Kafka Connect), RDBMS (SQL / Mysql), sqlalchemy,
Airflow, Oozie
Cloud tech nologies AWS (Kinesis, S3, EC2, DynamoDB), terraform
Container tech nologies Docker, Kubernetes, Openshift, Spark-on-k8s, kustomize
Tooling Git, IntelliJ, SonarQube,
unit and integration testing, pylint,
CI/CD (Gitlab CI, Azure DevOps Pipelines, Jenkins)
Prometheus, Grafana, Kibana, Splunk
Professional Experience
2022-11 - Present
● Working as a freelance Data Engineer ● Available for full-time projects
Academic Background
2017-09 - 2014-09
2012-08 - 2013-07
2010-10 - 2014-09
Certifications
2020-05
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