Resume

Experience

2018
University Hospital of Zurich, Research Data Services Center

Datawarehouse Developer

  • Architecture, development, maintenance and administration of the platform and its underlying data lake, databases, and data marts
  • Architecture, development and maintenance of the data integration layer especially the ETL processes from clinical and administrative source systems to the Research Datawarehouse
  • Aggregation, cleansing and masking of clinical data to fulfill the requirements of internal and external research projects
  • Architecture, development and maintenance of processes to provide encoded and encrypted health-related data to SPHN (Swiss Personalized Health Network) and internal researchers
  • Intensive use of database management and development tools incl. Business Intelligence (SQL Server Integration Services and SQL Server Reporting Services)
  • Programming and scripting with Microsoft .NET / ASP.NET / C# in Microsoft Visual Studio -- Toolset for automated data encryption and delivery with PGP and LiquidFiles
  • Support the technical development and evolution of master and reference data models for specific data domains
  • Technical and usecase documentation
  • Ensure the conformity of enterprise data protection to the corresponding laws (e.g. human research act)
  • Provide expert guidance to users in the research domain, who include data science specialists, data analysts and the wider business such as physicians, nurses and data managers
  • Provide specialist technical support to physicians, data managers, data scientists and data analysts in the use of the securely shared data sets
  • Manage the configuration of the data platform and any changes required
  • Manage support and development activities with the software suppliers
  • Manage capacity and workload of the shared data platform, including planning for additional large data sources, and their impact on any underlying infrastructure
  • Provide technical support in cataloguing of data sources

2016
University Hospital of Zurich, Clinical Data Management

Application Developer

  • Maintenance, second-level support and coordination of third-level support for clinical data management applications, interfaces and solutions
  • Testing and Rollout of the developed applications and interfaces
  • Project management
  • Analysis of source systems and interfaces
  • Implementation of ETL processes from clinical and administrative source systems into the Clinical Datawarehouse (Caradigm Intelligence Platform)
  • Technical specifications for datamanagement and datawarehouse applications and interfaces
  • Programming and scripting with Microsoft .NET / ASP.NET / C# in Microsoft Visual Studio
  • Writing complex T-SQL queries, views, procedures, triggers and functions (MSSQL)
  • Intensive use of database management and development tools incl. Business Intelligence (SQL Server Integration Services and SQL Server Reporting Services)
  • Technical and usecase documentation

2015
emineo AG

Healthcare Consultant

  • Project Management and Consulting
  • Analysis of source systems and interfaces
  • Implementation of ETL processes from clinical and administrative source systems into the Clinical Datawarehouse (Caradigm Intelligence Platform)
  • Technical specifications for datamanagement and datawarehouse applications and interfaces
  • Programming and scripting with Microsoft .NET / ASP.NET / C# in Microsoft Visual Studio
  • Writing complex T-SQL queries, views, procedures, triggers and functions (MSSQL)
  • Intensive use of database management and development tools incl. Business Intelligence (SQL Server Integration Services and SQL Server Reporting Services)
  • Technical and usecase documentation

Education

2019 - 2019
Udacity

Nanodegree, Data Analysis

  • Questioning, wrangling, exploring, analyzing, and communicating data
  • Use of Python libraries like NumPy, seaborn, Pandas and others
  • Apply inferential statistics and probability to important, real-world scenarios, such as analyzing A/B tests and building supervised learning models
  • Data Wrangling Gathering, assessing, and cleaning data
  • Use of Python to wrangle data programmatically and preparing it for deeper analysis
  • Data Visualization with Python Apply visualization principles to the data analysis process
  • Explore data visually at multiple levels to find insights and create a compelling story

2012-2015
Bern University of Applied Sciences

Bachelor of Science, Medical Informatics

  • Informatics, Statistics, Programming, Mathematics
  • Medical Terminologies and Classifications
  • Hospital processes and patient pathways
  • Organisation of hospitals
  • Quality and project management
  • Ethics and law
  • English and French focused on the healthcare environment

Tool Skills

SQL Server Management Studio

100%

Microsoft Business Intelligence Suite (SSIS / SSRS)

95%

MS Office

95%

Microsoft Visual Studio

95%

Oracle SQL Developer

80%

Oracle Data Integrator

50%

Coding Skills

MSSQL

100%

Microsoft .NET / C#

90%

HTML / CSS

80%

JavaScript

75%

PHP

70%

Java

70%

Python

60%