Matthias Von Görbitz-Managing Partner

• Data Engineer: Experienced Working With Tools And Process Engines In The Big Data Environment, Maintaining An Enterprise Data Catalogue. Experience With Different Databases And Database Types, Etl Methods And Reporting Tools.
• Devops Engineer: Experience With Orchestration And Provisioning Tools And Processes, Knowledge In Systems Management As Well As In Various Programming Languages.
• Cloud Know-How: Experience With In-House Cloud Solutions And Azure Cloud.
• Project Management, Analysis, Design And Planning, Coordination And Implementation Through All Project Phases Up To Operational Handover.
• Extensive It Know-How, Systematic, Analytical Approach.
• Quick To Get Up To Speed In New Subject Areas.

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, Use Cases, 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 (Bash, Ksh), Java

Operating Systems

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

Scheduling Tools

• Tws, Uc4