Splunk Consultant

11/2019 – 8/2020

1. Implementation and maintenance enterprise wide Log Management Infrastructure spanning data centers, AWS / Azure clouds and client offices
2. Administration of scalable centralized Splunk infrastructure and configurations including Splunk Cloud and Enterprise deployments, and on-premises / cloud forwarders and deployment servers
3. Providing Splunk and Log Management system engineering expertise and lead incident and problem management activities
4. Using various methodologies to capture data including syslog/Splunk forwarders, HTTP Event Collector, and APIs

IT-Support (allg.)

6/2017 – 12/2018

1. System architecture, implementation and administration of production and pre- production Splunk environments
2. Integrating different systems with Splunk
3. Utilizing Splunk Processing Language in data modeling, application data analysis and
building presentation layer for the whole process of application development

System Analyse, System Architektur

11/2010 – 4/2020

1. Service and deployment of new releases of Integration Proxy in production and test environments
2. Roll-out of the new version of mobile shop for Android devices
3. 24h on-calls for all Apache frontends and backend applications (AppSelect, Superstore,
WebShop)
4. Splunk integration/administration in production environment
5. Collecting metrics, frontend/backend application logs and mobile events via different
protocols (syslog, HTTP, splunktcp, Logstash, Filebeat) and analyzing with
Splunk/Hadoop
6. Supporting multiple team in roll-out of the variety Vodafone produccts to local markets
7. Architecture and administration of single site Splunk environment (1.2 TB/day with
650 users) and multi-site Splunk (2.7 TB/day with 3500 users)
8. Administration/configuration of Splunk IT Service Intelligence (ITSI) add-on for real-
time monitoring
9. Support for various Vodafone projects using Splunk and other Big Data platforms
(Hadoop MapR/Cloudera) and Splunk for Hadoop
10.Integrating Elastic Search and specific Spark use cases for real-time on-fly data
aggregation for Splunk license optimization
11.Building Data Science & Machine Learning platform and supporting users with related
projects
12.Coordination of administration activities performed by Splunk operational team 13.Applying best practices and supporting Splunk administration processes, data ingestion
debug, tweaking client/server side performance bottlenecks 14.Developing Cribl pipelines for data transformation, noise reduction,
securing/masking/enriching data and real-time aggregations before Splunk

System Architektur