Simon van Stiphout

Führung von Team Leads und internationaler Senior Professionals einer Abteilung mit Architektur, Strategie und Engineering Kompetenz, einschl. 24/7 SRE Betrieb von GCP-, Azure- und Red Hat OCP Landing Zones. Führte die Integration von Cloud und Security Lösungen, darunter Wiz, CrowdStrike, Terraform, GitLab, Ansible Automation Platform & Zscaler. Reduzierte die Lead-Zeit für neue Geschäftsprojekte durch ein sicheres, cloudbasiertes Framework. Verantwortlich für das Insourcing der Cloud Operations.

- Architecting and designing advanced data platforms and analytic services leveraging the latest in Cloud platform technology - Managing offshore software engineering teams - Managing security-review projects and designing cloud-uplift programs in Data & Analytics - Creating cost and resourcing plans to drive data platform harmonization programs for financial services clients - Designing and implementing Data Science operating models and associated tooling

- Enterprise Data platform review analysis, tech advisory and deliver target state solution architecture for financial services - Design and implementing cloud components for analytical purposes - Security control review, delivery of target design and costs for cloud platforms - Re-platforming and migration analysis for enterprise database systems

TechLead (Data Science) - Communicator between agile teams (international) - Planning new analytical infrastructure & architecture - Cloud micro-services for analytical usage - Quality Monitoring (processes & code) Course TOGAF Architect Certified Course (ongoing) Engineer and Data Scientist: - Text-Mining for master data improvement - Image analysis via tensorFlow and GPUs - New recommendation engines - New ci/cd pipeline in cloud based infrastructure

- Managing and Architecting self-service tools and API’s with HBase, PySpark, Scala and Cloudera Hadoop - Implementing test-driven DI Apps for streaming data (Java, Apache KAFKA, Junit) - Designing and delivering deep learning picture-recommendation with TensorFlow and Docker - Designing CI / CD processes for analytical apps (Docker, Jupyter and Jenkins) - Designing Data Models with PowerDesigner and working with MEGA exports for enterprise integration

- Engagement Purpose: Architected a generic enterprise data warehouse platform for Public Health Insurers - Managing related projects and planning associated cost for changes - Organising requirements and stakeholder workshops - Designing business and integration processes with UML and BPMN - Designing and delivering Data Integration Apps (Sql Server, C#, SSIS, Teradata)

1. Data Science Advisory in Food Retail Enterprises 2. Lead Data Architect and Engineering for Online Gambling Platform 3. Bachelor thesis Re 1.) - Analyse Product Placement - Developed a model to optimize voucher and Pay Back usage and market price level

2nd semester module, 60 students My part was the practice lessons 3 hour / Week Employed as student tutor

Seit 08-2012 Teilzeit wg. Vollzeitstudium | Aufnahme von Anforderungen ; Konzeption und Planung der technischen Details ; Erstellen von komplexen B2B-System (ASP.NET MVC, Android) ; Planen und entwickeln von mobilen Applikatioen ; Technologieauswahl und Evaluation ; Datenbankentwicklung und Analyse (Sql-Server, DB2)|

Es handelt sich um ein Pflichtpraktikum im Rahmen meines Studiums im fünften Semesters. Erstellung und Konzeption eines Data-Mining Projekts zur Kundenanalyse (Praxisstudie). Auf der Basis von MS Sql-Server 2008 / 2012. Internationales Projektteam

Tutor für das Modul Datenbanksysteme

Software Engineering, Web Development, Software Development (Java, Ruby on Rails), Operating Systems, Computer Architectures, Business Mgt. Processes, Operation Application Systems (SAP), Business Administration, Finance, Business Intelligence

Abschluss mit Auszeichnung