Data Engineer / Data Scientist

4/2019 – 7/2022

• Key developer on various projects that helped grow the company from 5 to 30 employees
• Design and implementation of real-time machine learning framework for steel manufacturing processes that Lead to considerable reduction of energy consumption. Rollout to multiple steel plants.
• Development of ETL pipeline for proprietary "iba" time series files to Clickhouse
• Data analysis and automated report generation from data warehouse
• Development of real-time data replication pipelines using CDC from Oracle and SQL Server to PostgreSQL and Clickhouse
• Responsible for the full software development life-cycle: design, implementation, testing, deployment, maintenance and monitoring
• Support of DevOps department: establishment of site-to-site VPNs, setup of servers and VMs, management of load balancers, web servers and databases (CentOS, Ubuntu, Ansible, PostgreSQL, Clickhouse)
• Management of CI/CD automation
• Mentoring and training of junior developers

Ansible, Data Warehousing, DevOps, Docker, ETL, Golang, Apache Kafka, Maschinelles Lernen, Microsoft SQL-Server (MS SQL), Oracle Database, Postgresql, Python, Representational State Transfer (REST), SQL

1/2018 – 3/2019

• Development of data science platform for steel manufacturing processes
• Training of machine learning models for optimizing raw material selection in the steel industry

Amazon Web Services (AWS), Backend, JavaScript, Pandas, Postgresql, Python, Representational State Transfer (REST), Scikit-learn, SQL

4/2014 – 9/2014

• Improvement of test equipment throughput by more than 30%
• Data analysis and root cause investigation for failure analysis task force

Labview, Python