Senior Data Engineer

10/2022 – offen

• Leading project development team consisting of 4 Data Engineers with different seniority, Involvement in the
discussions on project roadmap with Project Management, On-boarding and knowledge sharing across new
joiners, providing support on self-development of team members, conducting technical job interviews in data
related positions
• Providing the Design of Cloud Data Architecture supporting the goal of the project, reviewing the progress and
discussing ideas with designated Cloud Architects and other team members
• Developed a Web Application (Java Spring Boot) enabling the migration of data between internal data platforms
• Delivering ETL pipelines providing orchestration and transformation of data using an internally developed Rule
Engine Framework (Python + PySpark)
• Developed Testing Framework (Python) enabling easy validation of Rule Engine Framework output for Business
Developers
• Maintaining and developing CI/CD for the provided solutions using Azure DevOps, keeping clean and consistent
project documentation

Microsoft Azure, Apache Spark, Azure Databricks, DevOps, Git, Java (allg.), Python, Spring

1/2022 – offen

• Delivering ETL pipelines supporting cloud analytics platforms consisting of raw data transformations using
Spark, data historization and data warehouse loading
• Building cloud data architecture, designing and implementing Data Warehouse - Data Lake (ADLS), Delta Lake,
Azure Synapse Analytics, Azure SQL Database, Azure Data Factory, Databricks
• Data processing using Python, Spark, Scala and SQL on Databricks
• Designing and developing own Python packages supporting data processing, creating PowerBI Dashboards
• Maintaining and developing CI/CD for the data solutions using Azure DevOps, retaining nearly 100% code
test coverage consisting of unit test cases and integration/E2E testing, keeping clean and consistent project
documentation and data dictionaries
• Leading client-oriented meetings, consulting and presenting suggested solutions
• On-boarding and knowledge sharing across team members, providing support on self-development, working with
close cooperation with other project development streams

Apache Spark, Azure Databricks, Microsoft Power BI, Git, Python, Scala, Microsoft Azure

3/2021 – 1/2022

• Gathered business requirements, created user stories to have clear scope of work
• Implemented reporting dashboards to support decision making process
• Translated business requirements into data models using SQL
• Performed multiple actions in area of Business Intelligence and Data Analysis
• Conducted a lot of sessions with clients where developed visualizations were presented
• Presented a solution to a wide know problem in Tableau CRM in front of Deloitte EMEA group
• Performed data processing using Python (PySpark/Pandas) and SQL

Amazon Web Services (AWS), Apache Spark, Git, Microsoft Power BI, Pandas DataFrame, Python, Tableau