Matthias Von Görbitz

• Data Engineer: Experienced Working With Tools And Process Engines In Big Data Environments, Maintaining A Company Data Catalogue. Experience With Different Databases And Database Types, Etl Processes And Reporting Tools.
• Devops Engineer: Experience With Orchestration And Provisioning Tools And Methods, Knowledge In Systems Management And Various Programming Languages.
• Cloud Know-how: Experience In In-house Cloud Solutions And Azure Cloud.
• Project Management, Analysis, Design And Planning, Coordination And Implementation Through All Project Phases To Operations Handover.
• Extensive It Know-how, Systematic, Analytical Approach.
• Quick Adaptation To New Topics.

Data Management Framework

• Hadoop (Hdfs / Yarn)

Process Engines / Queueing

• Databricks Spark, Hdinsight, Kafka

Catalogue

• Alation

Devops

• Ansible, Git, Gitlab Ci, Docker, Eclipse, Kubernetes, Visual Studio Code, Jupyter

Cloud

• In-house, Microsoft Azure

Etl, Reporting, Bi

• Birt, Pentaho Data Integration (Pdi) Kettle, Sql Explorer, Tcr, Cognos, Power Bi

System Management

• Tivoli Enterprise Software (Netcool/omnibus, Monitoring, Provisioning Tools Manager, Tws, Tec)

Application Servers

• Websphere As Nd, Tomcat

Processes / Methods

• Scrum, Itil, Usecases, Uml, Kpi, Capacity And Availability Management, Azure Devops

Databases / Storage Formats

• Oracle, Db2, Mysql, Ms-sql, Postgresql, Sybase, Hbase, Redis, Avro, Parquet

Programming Languages

• Python (Pyspark, Pandas, Requests), Perl, Sql, Shell Scripting Languages (Bash, Ksh), Java

Operating Systems

• Various Unix Variants (Aix, Solaris, Linux), Windows, Mac Os X

Scheduling Tools

• Tws, Uc4