BI/Data Specialist

7/2017 – offen

Leading the Data Warehouse and Business Intelligence team (Data Warehouse Managers and Data Analysts):
- Defining the vision of the Business Intelligence department
- Building the Data Warehouse and Business Intelligence team
- Leading the design and implementation of the Data Warehouse based on Amazon Web Services (Amazon S3, Redshift, Kinesis, EC2, DynamoDB)
- Implementing ETL processes (Matillion, Python)
- Implementing Machine Learning scripts (Python)
- Implementing Reports, Dashboards, and Monitors (Tableau, Kibana)
- Performing Adhoc-Analysis to answer specific business questions
- Assuring the implementation of stakeholder requirements

Data Science, Business Intelligence (BI), Business Intelligence and Reporting Tools (BIRT), Business Analysis

4/2013 – 6/2017

Leading the Data Warehouse team (Data Engineers, Data Managers, BI developers, and Backend developers):
- Leading the design and implementation of data models and data flows (LDM, PDM, Dimensional Modeling, Data Integration, ETL)
- Leading the implementation of different backends (Marketing Campaigns Management, Support Backend, Publisher Backend, ...)
- Leading the implementation and maintenance of the Data Warehouse based on big data technologies (Hadoop, HDFS, Hbase, Phoenix, Hive, Kafka, HP Vertica, MySQL)
- Leading the design and implementation of the new Data Warehouse based on Amazon Web Services (Amazon Redshift, Amazon S3, Amazon Kinesis, DynamoDB, Matillion, Amazon QuickSight)
- Migrating the Data Warehouse from Hadoop to Amazon Web Services
- Assuring the implementation of stakeholder requirements
- Implementing dashboards and reports (Tableau, Microstrategy)

Data Science, Big Data, Business Intelligence (BI), ETL