NoSQL Experts in Vienna

Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.

• Design and implementation of new functionalities in the areas of Lifecycle Management (LCM), Role Management (RLM) and Access Governance

• Adjustment of the company-wide Segregation of Duties (SoD) matrix to ensure regulatory and internal compliance requirements

• Further development and configuration of recertification processes

• Creation and adaptation of custom workflows, rules and tasks in SailPoint IdentityIQ (BeanShell, XML, Java)

• Use of static code analysis with SonarQube to ensure code quality and compliance with defined development standards

• Regular code reviews within the development team to ensure quality, share knowledge and follow clean code principles

• Work in an agile Scrum team with daily communication, sprint planning and reviews

• Coordination with testers, test managers and business departments to ensure quality and smooth production rollout

• Active involvement in release planning and deployment coordination, including test preparation, cutover activities and rollback strategies

• Analysis and sustainable resolution of issues in the IAM production environment (2nd- and 3rd-level support)

• Reproduction of complex errors, identification of root causes and implementation of lasting fixes

• Creation of technical analyses and recommendations for operations and further development

Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI

Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine

• Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
• Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
• Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
• Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
• Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
• Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
• Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).

• Planning and monitoring sprints and holding the scheduled meetings

• Analyzing and resolving issues in the development process

• Error analysis, bug management and correction in individual process steps

• Stakeholder management

• Documentation and improvement of the development process

• Tools: JIRA, Confluence

• Conducting a feasibility study on introducing an in-house DWH as a central data source
• Conducting workshops for current state analysis (processes, reports, KPIs) together with the clients
• Gathering and detailing business requirements including a target concept for an in-house DWH
• Coordinating and clarifying data deliveries and interfaces in meetings with stakeholders and data providers
• Developing initial data models as a basis for data quality and later implementation
• Drafting solution variants including architecture and operation options and decision basis
• Creating the business case including effort estimates, cost-benefit analysis, and decision report

• Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
• Definition of modeling standards
• Creation of a conceptual and logical model for the entire Abu Dhabi government administration
• Definition of data quality and data security standards

• I am responsible for providing solution architecture and technical assistance for a migration initiative aimed at transitioning to a new core banking system.
• The project involves replacing in-house development with a commercially available off-the-shelf core banking system operated as SaaS on AWS.
• Duties encompass solution design, technical coordination, supporting development teams, and providing IT support and troubleshooting.
• Managing over 10 global vendors and partners is crucial to project success.
• Technologies: VMWare ESXi, AWS, EKS Kubernetes, Mastercard Payment Transaction Service, Avaloq, A1 Telekom Austria infrastructure, CheckPoint FW, F5, Site-to-Site VPNs, PingID, Futurae SDK, Airlock, UC4/Automic, Firebase, iOS/Android lifecycle management, AWS IAM, AWS AppStream, AWS S3, AWS Transfer Family, QlikView, OpenAPI.

• Custom anonymized research data analyzer, providing insights and facilitating data-driven decision-making.
• Designed and developed back- and frontend.
• Delivered end-to-end solution.
• Accelerated research timeline by 2 months.