Oracle Database Experts in Zurich

Swiss University of Applied Sciences institute (HEdA/AAQ accredited); ranked #5 globally for Executive MBA (CEO Magazine 2025)

• Led the research function and chaired the Research Advisory Board.
• Editor of the Journal of Applied Business Research.
• Member of the Thesis and Dissertation Committee.
• Contributed to the AAQ and ACBSP accreditation processes.

• Migration of databases from ODA to ExaData
• Migration of databases from ExaData to ExaCC/OCI
• Reduced UCC usage by 10%
• Developing automation scripts using Python
• Performance tuning
• Reduced development databases from 6 TB to 3 TB using Exadata columnar compression
• Improved application performance by 30% using the inmemory option
• Improved non-production Exadata performance by 20% to free up CPU resources before ExaCC migration
• Database patching of Oracle 19c
• Basic Ansible scripting for deployments and database cloning
• Developing an accounting model for a shared Oracle platform
• Migrating single-instance databases to Oracle RAC
• Analysis of RAC issues
• Advising development teams on how to migrate to RAC

• Developed Power BI semantic models, DAX and RLS, improving reporting performance and security.
• Designed Fabric Lakehouse with Medallion Architecture (Bronze/Silver/Gold), accelerating data processing and improving maintainability and scalability.
• Built Fabric Data Factory pipelines and PySpark transformations, reducing processing time by 40%.
• Delivered automated Power BI KPI dashboards, accelerating reporting and decision-making.
• Supported SAP BO 4.3 → 2025 migration across 2,000+ Webl reports and 34 universes, reducing testing effort by 35% and improving migration quality and reliability.
• Optimized UNX universes, reducing query execution time by 40%.
• Optimized SAP BO reporting solutions, improving reliability and reducing manual effort.

Environment: Power BI, Microsoft Fabric (Lakehouse, Warehouse, Pipelines, PySpark), Tabular Editor, DAX Studio, SAP BI (BO 4.3/2025, Webl, UNX Universes), 360Suite, InfoBurst, GitHub, JIRA.

• Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
• Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
• Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
• Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
• Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
• Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
• Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
• Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
• Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
• Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
• Developed and optimized Algorithms using python libraries like Numpy and Pandas.

• Highest level achieved: Certified Mid-Level Angular Developer
• 13 technologies newly learned or refreshed with (re-)certifications
• Current: Docker, Azure, Quarkus

• Advising insurance companies on modelling, reporting, valuations, risk management and acting as Appointed Actuary
• 2023–2025: Improvement of Solvency II software, annual financial statements (HGB, SII), process optimisation, pricing, SQL- and Python-based reports for AXA Deutschland, Cologne
• 2022–2023: Support with portfolio transfer (RAFM optimisation; impact on HGB balance sheet, SII, reinsurance; migration to msg.Life Factory) for Zurich Deutschland, Cologne
• 2021 and 2024: Redesign of Solvency II model, implementation in Python and model enhancements; testing and documentation for PK Rück, Zurich
• 2021–2023: Control calculations for policy maturity benefits; specification and testing of an administration system for product launch at Youplus, Liechtenstein
• 2021: a) Support in drafting a reinsurance contract: project management and analyses; b) Support with Solvency II reporting and multi-year planning for Allianz Leben, Stuttgart
• 2020–2021: Further development and optimisation of models with Risk Agility FM (RAFM), integration into the IFRS 17 reporting process with Unify for Allianz Slovakia and Bulgaria
• 2017–2023: Quality improvement of the RAFM model; methodology development; documentation; optimisation of reporting and planning processes; automation with Excel and Oracle SQL (on COR-Life); implementation of a life reinsurance contract; validation of mathematical figures in the administration system for SV Versicherung, Stuttgart and Mannheim
• 2015–2017: Project management and senior actuary in the development of an actuarial projection tool and in the IMAP process with the regulator; guidance of the reporting team; analyses; methodology development; process design; coordination with IT, asset management and risk management for Allianz Leben, Stuttgart
• 2016–2020: Review of cash flow models for investment projects for B Capital, Zurich
• 2015: Rebuilding of methodology for MCEV calculation based on MVBS; weakness analysis and support in addressing weaknesses for Allianz SE, Munich
• 2014: Solvency II risk capital reporting project: validation of data submissions; analyses for management and the regulator; tool development; process and documentation improvements; training of team members for Aegon Group, The Hague, Netherlands

• Definition of a product concept and end to end solution delivery (turnkey) for a Digital Efficiency Hub for Railway Maintenance based on 5G campus networks. Integration of various hardware and software systems in a comprehensive delivery with success metrics. Laise the concept and process across the enterprise. Compliant process definition and financial management with commercial model.

Technologies: 5G, RAN, SAP, Cloud, Enterprise Architect, Autonomous Robots, ITIL, CoBIT, TBM, BSI, ISO 27001

• Clients: Central banks of the most developed economies in the world, German, Swiss, Luxembourgish, Monegasque, Singaporean, Japanese wealth managers and universal/private banks, world’s largest investment banks
• Accountable for managing the delivery of a portfolio of digital wealth and consumer relationship management initiatives
• Project managing portfolios of projects within CTO product and technology business area (cyber security, architectural changes, re-organisational transformation, 3rd party apps)
• Products: Kernel & Parametrisation for Core Avaloq Banking Platform; modules: CRM, client data management, wealth management, portfolio management (generating over 90% of company revenues)
• Key responsibilities:
• Reporting to Head of Disruptive Innovation Division; stakeholder to five product owners & two domain owners
• Accountable for delivery of annual themes and quarterly key deliverables
• Managing demand vs supply via QBR process: book of work, execution, reporting, risk management
• Directly managing around 40 external consultants (front-end/back-end engineers, BAs, designers)
• Hiring and managing resources in eight countries
• Running quarterly divisional closure meetings presenting achievements and challenges
• Resolving cross-team dependencies and internal/external conflicts
• Owning and controlling maintenance budget; planning, forecasting, execution; ensuring demand matches supply
• Identifying and staffing key roles with chapter leads
• Approach: Agile, Scrum of Scrums, QBR/OKRs
• Technology: Angular, PL/SQL, JavaScript, Confluence, JIRA (JQL)

• Project management: Implementation of SAP & EBX integration for master and reference data management and led development of AI supported services for data management and privacy-oriented solutions
• Business analysis: Executed in-depth requirement gathering and data analyzes for MDM implementation, supported service integration using REST APIs to enhance service interoperability, led the requirement gathering, analysis, and implementation of agent-based AI services
• Technologies: SAP BP & FICO & MM, Tibco EBX, n8n, custom AI development in Java, Python, RDBMS, cloud

• Build prototypes, expand AI skills, and practical application in a startup context.
• Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
• Technologies: LangChain, REST, Python, Java, JS, TS, Node.

• Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services

• Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform

• Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance

• Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces

• Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability

• Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman

• Worked in mixed teams with several clients
• Performed requirement engineering, proposal and time estimation
• Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
• Customized mobile apps: Now Agent and Now Mobile
• Implemented integrations using the Integration Hub
• Coordinated continuously with clients during development
• Performed testing and helped clients with testing
• Deployed to production and applied main version upgrades and patches
• Managed CMDB, domain separation and asset management
• Integrated between instances at different clients
• Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts

• Responsible for IT integration test and user acceptance test for SAP S/4 Hana and BDO BO Customer Financials Management
• Led the test team (business testers and IT testers)
• Resource planning and control within the test team
• Created test concepts and test plans
• Performed test risk analysis
• Coordinated test execution and defect tracking
• Ensured test progress
• Generated and visualized reports
• Summarized test reports and reported to management
• Prepared and conducted user acceptance tests
• Managed SIGMA and JIRA/Confluence at project level

• Supporting UBS Wealth Management as Senior Data Architect within a multi-year enterprise data mesh transformation.
• Guiding a strategic stream to design and implement a data product aligned with UBS’s enterprise-wide data mesh framework.
• Leading architecture definition, governance alignment, and cross-domain integration to ensure scalable, compliant, and reusable data products across global stakeholders.
• UBS – Global Wealth Management Data Product Architecture: Designed an enterprise-aligned data product spanning 26 countries, defining data contracts, metadata standards, and federated architecture patterns enabling cross-domain reuse across the bank.
• Defined cross-jurisdictional data policies and access controls to ensure compliance with regulatory requirements across multiple regions (EU, APAC, LATAM, CH).