Resume

Profile Picture

Olaf Gladis

Skills

Linux

Expert
20 years

Python

Expert
18 years

MySQL

Advanced
15 years

Docker

Expert
9 years

Asyncio

Advanced
9 years

AWS

Advanced
4 years

Terraform

Intermediate
4 years
AWSAirflowAnsibleApache BeamAsyncioConsulDjangoDjango REST FrameworkDockerFastapiFaustGCPGithub ActionsHTMLJava ScriptJenkinsK8sKafkaKinesisLambdaLinuxMySQLNomadPythonServerlessTerraformVaultWebsocket

Selection of my Hands on Experiences

  • January 2023 - now
    Senior Data Engineering at Zeppelin GmbH,remote

    Maintaining legacy code while revamping real-time data pipelines with Kafka and Faust. Developed REST APIs for data access and optimized operations by migrating Airflow to serverless Lambdas. Held ownership of a critical 10k-employee payroll pipeline, ensuring data quality and security.

    LinuxPythonDockerAWSFaustFastapiDjangoAirflowTerraformGithub ActionsServerless
  • December 2019 - December 2022
    Backend Software Engineering at trivago GmbH,Düsseldorf | remote

    Streamlined data pipelines, ensuring quality, integrity, and reliability. Migrated a complex pipeline to GCP, achieving increased efficiency and scalability with Kubernetes, Kafka, and BigQuery. Proven track record in managing and enhancing streaming pipelines using diverse tools like Lambdas, DynamoDB, Apache Beam, and Faust.

    LinuxPythonDockerGithub ActionsAWSGCPKafkaKinesisLambdaK8sTerraformFaustApache Beam
  • February 2019 - December 2022
    Knowledge Lead / Subject Matter Expert at trivago GmbH,Düsseldorf | remote

    Orchestrated Python knowledge management, establishing standards, identifying skill gaps, and providing training activities like workshops, sprints, and hackathons. Collaborated with external partners to ensure cutting-edge knowledge and foster practical learning.

    PythonPytestAsyncioDjangoDjango REST FrameworkFaustApache BeamKubernetes
  • July 2016 - November 2019
    Release Engineer at trivago GmbH,Düsseldorf

    Modernized release process. Streamlined workflow by replacing legacy bash scripts with a robust, fully tested Python tool. Achieved significant efficiency gains, reducing deployment time from 3 hours to 7 minutes and enabling on-demand deployments.

    LinuxPythonDockerJenkinsAnsibleNomadConsulVaultBare MetalDjango REST FrameworkAsyncio

Selection of my Education