08/08/2023 updated
100 % available
Data Engineer
Sopron, Hungary
Only remote
C (Programming Language)HTMLJavaScriptArtificial IntelligenceApache AirflowAmazon Web ServicesData AnalysisComputer VisionAtlassian ConfluenceAtlassian JiraMicrosoft AzureBash ShellGoogle BigQueryC++ (Programming Language)Cascading Style Sheets (CSS)
Airflow, AWS DevOps, Ansible, Kafka, AI, Bash, BigQuery, Bitbucket, cloud services, Cloud Infrastructure, Cloud Storage, computer vision, concurrency, Confluence, CI/CD, cron, Data Analyst, data analysis, Data analysis and reporting, data architecture, data ingestion, data management, data pipelines, data visualization, Data Warehousing, databases, deep learning, Docker, ElasticSearch, ETL, Flask, Git, GitHub, GitLab, Golang, Google Cloud, Google Cloud Platform, HTML, Data Engineer, data engineering, Computer Science, Jira, JavaScript, Keras, K8s, Linux, Luigi, machine learning, Azure Cloud, Azure, Excel, Office, MS Office, Powerpoint, Sql Server, Word, MongoDB, MySQL, Pandas, PostgreSQL, PowerBI, Programming languages, PySpark, Python, SQL, Tensorflow, Terraform
Experience
Professional experience5 - 10 years
Freelancer since2022
Languages
GermanFluentEnglishFluentHungarianNative speaker
Project history
Working primarily on data ingestion pipelines with georeferencing in the railway domain. Review
pull requests and support developing a dashboarding application. Requirement analysis, discuss
deeply technical topics with stakeholders and present possible solutions.
Tech stack: Python, ElasticSearch, OpenSearch, Sql Server, Git, Bitbucket, Docker, Confluence
pull requests and support developing a dashboarding application. Requirement analysis, discuss
deeply technical topics with stakeholders and present possible solutions.
Tech stack: Python, ElasticSearch, OpenSearch, Sql Server, Git, Bitbucket, Docker, Confluence
Creating the cloud data architecture from scratch on Google Cloud with automated and scheduled
data pipelines (ETL/ELT) and reporting. Helped several reports as a data scientist, such as the
Global Customer Loyalty Report. Contributing to deep learning and time series forecasting projects.
Introduce Golang for an ingestion pipeline to improve performance by applying secure
concurrency.
Tech stack: BigQuery, Golang, Cloud Storage, Data Studio, Python, Luigi/Airflow, dbt, GitLab,
CI/CD, Pandas, Keras/Tensorflow, SQL, MongoDB, Linux, Docker, Bash, cron, git, Ansible
data pipelines (ETL/ELT) and reporting. Helped several reports as a data scientist, such as the
Global Customer Loyalty Report. Contributing to deep learning and time series forecasting projects.
Introduce Golang for an ingestion pipeline to improve performance by applying secure
concurrency.
Tech stack: BigQuery, Golang, Cloud Storage, Data Studio, Python, Luigi/Airflow, dbt, GitLab,
CI/CD, Pandas, Keras/Tensorflow, SQL, MongoDB, Linux, Docker, Bash, cron, git, Ansible
Set up automated reporting and data visualization systems for stakeholders in finance / procurement
space.
Developed business process automations and saved >1 FTE work for the operational team.
Participated in machine learning projects (computer vision, classification).
Tech stack: Python, PySpark, SQL, PowerBI, Azure Cloud
space.
Developed business process automations and saved >1 FTE work for the operational team.
Participated in machine learning projects (computer vision, classification).
Tech stack: Python, PySpark, SQL, PowerBI, Azure Cloud