Josef Heusserer
DATA EXPERT
Unlocking the True Potential of Data |
Driven by Curiosity – Powered by Experience |
Learning Together – Growing Together
About Me
Am I a Data Nerd? All my life, I’ve been driven by the passion to uncover the secrets hidden in data!
I’m a Data Solution/Information Architect, Data Engineer, Data Scientist, Data Analyst, Data … Let’s keep it simple! As a Data Expert, I love making data usable – for decision-making, risk assessment, strategy development, and more.
What drives me
With my enthusiasm, curiosity, and passion for new, innovative, and practical solutions, practices, and ideas, I aim to inspire others – sparking dialogue and fostering creative synergies.
I’m passionate about developing effective, high-performance applications that optimize processes and solve complex problems.
My values, strengths, and expertise
- Commitment & Responsibility: I’m 100% committed to my projects and take ownership.
- Reliability: I show strong dedication to my work and my colleagues.
- Persistence: I stick with tasks until they are completed.
- Technical expertise: I have deep technical skills and a strong understanding of complex systems, built on nearly 30 years of experience as a Data Expert.
- Problem-solving: I excel at solving complex problems with innovative approaches.
- Communication skills: I can convey technical details and project expectations clearly and understandably.
- Analytical thinking: I can dissect complex problems and solve them systematically.
- Mentor & Leader: I guide and support others, sharing my knowledge and experience to strengthen teams and move projects forward.
- Focus: I can sustain deep concentration on tasks over long periods.
When I’m not at my desk, you’ll find me …
- exploring landscapes and cultures on ultra-long cycling tours.
- discovering how the human body can optimally deliver energy for endurance performance.
- learning Spanish.
- immersing myself in books on personal development and communication.
Key Skills
- Agile Methodologies
- Apache Airflow
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Big Data
- Cloudera Data Platform
- Data Governance
- Databases
- Data Modeling
- DevOps
- Enterprise Architecture
- Enterprise Information Architecture
- Extract, Transform, Load (ETL)
- Java
- Kubernetes
- Linux & Shell Programming
- Microsoft Azure Data Platform
- Microsoft Fabric Data Platform
- Openshift
- PySpark
- Python
- SQL
- Scala
- Software Design
- Software development (incl. OO)
- Telecommunication
Language Skills
- German (native)
- English (fluent)
- Spanish (B1 – intermediate)
Turning Data into Clarity
Big Data, Advanced Analytics & Business Intelligence
Proven expertise in designing and implementing advanced Big Data and BI solutions.
- Extensive hands-on experience as a Big Data Engineer
- Design & Lead Development (Python / Airflow / Kubernetes) of the A1-internal Data Ingestion Framework – a strategic tool for managing the A1 Big Data Platform (Cloudera and Azure), replacing legacy ETL/ELT processes
- Conception and implementation of Big Data solutions (batch and near real-time) in the Hadoop ecosystem (HDFS, Spark, Kafka, Hive, Impala)
- Development of the central Data Lake at A1 Austria
- Continuous self-study and adoption of Big Data technologies
- Contribution to the RFI/RFP for the A1 Austria Data Lake Subscription and subsequent expansion
Information Architecture, Data Management & Data Governance
Strong track record in building scalable, business-driven data architectures.
- Design and implementation of Information Architecture to ensure scalable, efficient, and business-aligned data structures
- Expertise in data warehouse system development (architecture & processes)
- Proven track record in analysis, conception, data modeling, and implementation for data warehouse / ETL, Business Intelligence (reporting, OLAP), and operational planning
- Strong background in data analysis and visualization
- Requirements assessment and specification: creation of business concepts in close cooperation with stakeholders and requesting departments
- Solid know-how in operational CRM and campaign management
- Business understanding across various corporate processes: financial & cost accounting, corporate planning, operational planning, and ERP workflows
Emerging Skills & Current Learning
In addition to my established expertise, I am actively expanding my skill set to integrate the latest technologies and methods into my Data Engineering practice:
- Generative AI Applications – exploring the use of GenAI to enhance and accelerate Data Engineering workflows.
- Databricks Data Intelligence Platform – gaining hands-on experience with Databricks for scalable data processing and analytics.
- Data Science & Machine Learning – currently building solid foundations through structured learning and practical work on a partner project (pro bono), applying ML basics in real-world contexts.
- Semantic Layer & “Talk to Data” – I am currently exploring semantic data access and conversational data interfaces. I’m fascinated by the idea of making data models accessible through natural language — using semantic and reasoning layers, text-to-SQL engines, and agent-based solutions that connect structured and unstructured data. My focus is on understanding which architectures, tools, and integration approaches deliver the greatest business value while building up hands-on experience in this emerging field.
These ongoing learning paths are already enriching my core capabilities in Data Engineering, enabling me to design solutions that bridge modern AI methods, advanced data platforms, and established enterprise data practices.
Expertise
Beyond the Basics
- Enterprise Architektur Frameworks (TOGAF, TM-Forum)
- European Union GDPR
- Information Security & Data Privacy Management
- Pseudonymization and anonymization procedures (k-anonymity, etc.)
- Object-oriented analysis and conception
- Project Management
- Employee Management and Leadership
Databases
- Microsoft Azure Synapse
- Microsoft Fabric Lakehouse
- Hadoop Ecosystem, Hive, Impala
- Teradata RDBMS
- Microsoft SQL Server
- Oracle
- PostgreSQL
- Microsoft Analysis Services
- Others (mySQL, MS Access, MSM, Caché)
Selected Tools & Frameworks
- Automic Automation Engine (formerly UC4)
- Data Modeling with CA Erwin / Sysbase Powerdesigner
- ETL: Teradata, AbInitio, Decision Stream, Sagent ETL
- Implementation of Planning Systems
- Power BI, QlikView, MS Reporting Services, IBM/Cognos Reporting
- Jira & Confluence
- MS Office incl. Programming
- WordPress/Joomla/Typo3 CMS
Programming Skills
- Big Data Dialects: Python, Pyspark, Java, Scala
- SQL (T-SQL, TD-SQL, PL/SQL), MDX
- Shell scripting
- C++, C#.Net, C
- Visual Basic, VBA, VB.Net
Professional Experience
| Time | Profession |
|---|---|
| 2017/05 – now | A1 Telekom Austria AG – Senior Big Data Engineer |
| 2014/02-2017/05 | A1 Telekom Austria AG – IT Enterprise Information Architect |
| 2013/04–2014/02 | A1 Telekom Austria AG – DWH/BI Domain Architect |
| 2012/07–2013/03 | Softcom Skillcenter GmbH – DWH/BI Consulting |
| Exclusive consulting and implementation activities at A1 Telekom Austria AG in the IT Business Intelligence department as a preliminary stage to „internalization“ at A1. | |
| Adoption and execution of the role „DWH/BI – Domain Architect“ | |
| 1998 – 2012/06 | BOOM Software AG (Leibnitz/Wien) – Head of BI-Software |
| Management of up to 20 employees in the department and in DWH/BI customer projects. | |
| As Playing Captain, I was responsible for team leadership and project management while also contributing to project design and implementation. My strong communication skills, ability to motivate others, and team spirit supported me in this dual role. | |
| Project management/management of data warehouse (DWH) and business intelligence (BI) projects. | |
| Architecture of data warehouse and information systems. | |
| Analysis, conception, design and implementation of DWH / BI solutions: requirements engineering, DWH modelling, implementation of ETL processes, development of relational and multidimensional frontends, user training. | |
| Analysis, conception, design and implementation of planning solutions in the operational area. | |
| 1995 – 1998 | BOOM Software AG (Leibnitz) – Project Lead |
| Object-oriented software development (analysis, design, implementation) in the banking/leasing/insurance sector. | |
| 1992 – 1995 | KN Software GmbH (Graz) |
| Object-oriented software development (analysis, design, implementation) in the field of vehicle trade and import. | |
| 1987 – 1992 | Online Computer GmbH / Taylorix GmbH (Graz) |
| System and application development: | |
| Main responsibility for the development of an ERP system with integration of POS systems. | |
| Development of an integrated solution including health insurance billing for pharmacies in cooperation with KWIZDA. | |
| Implementation of individual merchandise management systems for the retail sector. |
Project Highlights, Scope & Focus Areas
2023-2024, A1 – Project “Data Minions”
Tasks & Responsibilities:
- Architecture and design ownership for the framework
- Lead development with Python, Apache Airflow, and Kubernetes
- Migration and decommissioning of existing ETL processes
- Coaching and technical support for other developers
- Big Data Engineering (Hadoop, Spark, Kafka)
- Python, Airflow, Kubernetes
- Data Governance & Data Ingestion
- Leadership & Coaching
2018-2024, ongoing, A1 – Lead Data Engineer
Tasks & Responsibilities:
- Development of data pipelines with HDFS, Spark, Kafka, Hive, and Impala
- Building scalable, fault-tolerant data processes
- Implementation of data analytics use cases in close collaboration with business units
- Development and rollout of pragmatic design guidelines and frameworks for the entire engineering team
- Onboarding, tutoring, and coaching of new team members
- Quality assurance in the Data Engineering group through solution design workshops, code reviews, and knowledge transfer in regular team meetings.
- Hadoop ecosystem (HDFS, Spark, Hive, Kafka, Impala)
- Data pipeline design & implementation
- Near real-time data processing
- Collaboration with business units
- Team leadership & coaching
- Quality management
2022, A1 – Project “Netscout Data Integration”
Tasks & Responsibilities:
- Development of large-scale data extraction and integration
- Performance optimization for high-volume data streams
- Use of modern platforms (Kubernetes/OpenShift, HDFS, Spark, Linux shell)
- Collaboration with analytics teams for downstream data processing
- High-volume data engineering & streaming
- Kubernetes, OpenShift, Apache Spark
- Near real-time data integration
- Use case enablement for analytics
2018-2024, A1 – Data Lake Platform Migrations
Tasks & Responsibilities:
- Leading role in planning and executing the migrations
- Ensuring data quality and business continuity
- Adapting data pipelines (batch and streaming) to new platform architectures
- Knowledge transfer and training for the teams
- Migration of big data platforms
- Cloudera, Cloudera CDP, Azure Synapse
- Cloud data architecture & data engineering
- Project management & change management
2017-2018, A1 – Data Lake Build-Out
Tasks & Responsibilities:
- Design and build of the technical architecture
- Implementation of central data pipelines and governance mechanisms
- Coordination with business units for data provisioning
- Performance and scalability testing
- Data lake architecture & build-out
- Hadoop & Hortonworks ecosystem
- Data governance & security
- Cross-department collaboration
2016-2017, A1 – Data Governance Organization
Tasks & Responsibilities:
- Development of an organizational structure for data governance
- Definition of roles, responsibilities, and processes
- Support in establishing data owners and data stewards
- Enabling the organization via guidelines and best practices
- Data governance & information management
- Enterprise architecture & corporate data model
- Process design & organizational development
2015-2017 (ongoing), A1 – Transformation to a Data-Driven Company
Tasks & Responsibilities:
- Analysis and identification of relevant transformation data
- Consulting on projects to integrate data into central systems
- Ensuring data quality and long-term usability
- Contribution to the strategic transformation toward a data-driven company
- Enterprise information architecture & data strategy
- Business analysis & data integration
- Consulting in transformation projects
- Communication & change management
2015-2016, A1 – MDM Project “Partymaster”
Tasks & Responsibilities:
- Architecture support for MDM system integration as a central component of the “data-driven company”
- Design of integration strategies
- Support for the migration of customer master data
- Consulting on governance and master data quality
- Enterprise information architecture & MDM
- System integration & interface design
- Data migration & governance
- Stakeholder management between IT and business units
2014-2015, A1 – Master Data Management (MDM) Awareness & Community Building
Tasks & Responsibilities:
- Conducting workshops, awareness campaigns, and stakeholder management
- Building an MDM community across business units
- Definition of initial use cases and guidelines for master data management
- Data governance & data management
- Enterprise architecture & business alignment
- Communication & change management
2014/02-2017/05 (ongoing), A1 – Enterprise Information Architect
- Definition, implementation, and ongoing evolution of the Information Target Architecture.
- Close integration of information architecture with other architecture disciplines (business [processes, capabilities], applications, technical, integration).
- Identification and structuring of company-wide data assets.
- Establishing structures for the transformation to the “Data-Driven A1 Company.”
- Definition of target architecture and guiding principles for information architecture
- Integration with business, process, and application architecture
- Development and evolution of the corporate data model
- Identification of business objects and central data domains
- Enterprise architecture frameworks (TOGAF, TM Forum)
- Information architecture & data governance
- Data modeling & data management
- Communication with business and IT architecture teams
2012/07-2014/02 (ongoing), A1 – DWH/BI Domain Architect
- Overall responsibility for consistency and coherence from an architecture perspective
- Further development of the Enterprise Data Warehouse model and BI solution architecture as well as knowledge transfer within the department
- Development of pragmatic design and modeling guidelines
- Governance, coaching, and quality assurance for eDWH models, solution designs, and guidelines
- Coordination and mediation in company – and IT-wide projects
- Interface to the IT Architecture Board and ensuring alignment of the BI department with the overall IT architecture
- Participation with a focus on information architecture in the project to establish a central enterprise architecture organization
- Data modeling, data governance, ETL & BI architectures
- Information architecture & DWH design
- Communication, coaching, leadership
- Many years of BI/DWH experience since 1998
2012/03-2013/02, A1 – Project “ASAP/BSAP”
Tasks & Responsibilities:
- Technical overall responsibility for BSAP within the BI department
- Interface role to the SAP team (ERP, BW)
- Solution architecture design for switching SAP base data in the DWH and for over 40 dependent solutions
- Business analysis, design, and technical design for sub-areas during implementation as well as implementation of selected sub-areas
- Quality assurance during implementation and the go-live phase
Key Skills & Expertise:
- Data warehouse, ETL, data modeling
- SAP integration into DWH architectures
- Business intelligence & reporting
- Quality assurance & project management
2011/2012, A1 – Project “oneCLM / oneCampaigning”
Tasks & Responsibilities:
- Consulting within the business unit for CRM topics
- Contribution to the target system architecture for campaigning
- Business analysis, design, technical design, and data modeling for the solutions’ data foundation
- Implementation of selected sub-areas
- Quality assurance
Key Skills & Expertise:
- Data management, data modeling, ETL
- CRM and campaign management experience
- BI/DWH solutions with Teradata & Aprimo
2009/2010, Telekom Austria AG – Project “IPM”
Tasks & Responsibilities:
- System architecture design (data foundation for IPM, data transfer to and from the SAP system in compliance with ICS policies, downstream distribution of commission data to reporting and other operational systems such as the employee sales lead management system or the dealer extranet)
- Business analysis, design, technical design, and data modeling for the data foundation and the solution’s update processes
- Implementation of selected sub-areas
- Quality assurance
- Steering the implementation team
Key Skills & Expertise:
- DWH/BI architecture, ETL, data governance
- Project and team leadership
- Teradata and SAP integration
2006/2007, Telekom Austria AG – Project “Sales Steering Application”
Tasks & Responsibilities:
- System architecture design with a focus on performance and extensibility
- Design of a cross-functional product and customer view
- Business analysis, design, and technical design for the solution’s data foundation and update processes
- Implementation of sub-areas
- Support in building the CRM software’s metadata layer (TRM)
- Quality assurance
- Steering the implementation team
Sources: Teradata, SQL Server, Oracle, Host, …
Key Skills & Expertise:
- Data modeling, data management, ETL
- BI system architecture & performance optimization
- CRM and campaign management
- Project and team leadership
- Experience with Teradata, SQL Server, Oracle, …
2006, RHI AG – Project “Planning Process NEW”
Tasks & Responsibilities:
- Design of the overall system (interfaces DWH – planning database – CoPlanner™, control of the planning and calculation process)
- Design and technical design for the planning data foundation and calculation modules
- Implementation (data model, interfaces) in CoPlanner™ as well as parts of the calculation modules as T-SQL procedures
- Quality assurance
- Technical project management and steering of the implementation team
Key Skills & Expertise:
- Data warehousing, ETL, data modeling
- Planning systems (CoPlanner, SQL Server)
- Project management
2004-2006, Mobilkom Austria – Business Intelligence Consultant in the Data Warehouse Department
Tasks & Responsibilities:
-
Design and Lead Development of reporting and analytical platforms for:
- Credit default management (Risk Management)
- Collection & Fraud (Fraud Management)
- Customer scoring (Risk Management, OLAP cube)
- Standard reporting (Accounting, Billing, Fraud Management)
- Roles: Consulting, Development, Project Management
- Tutor and coach for onboarding and supporting new colleagues in the mobilkom BI team
- Business Intelligence & Data Warehousing
- OLAP & Data Mart design (MS Analysis Services)
- Fraud & Risk Management analytics
- Teradata, Oracle, MS SQL Server, HP-UX, Windows Server
- Project management, consulting, coaching & knowledge transfer
2002-2003, PORR AG – Group Data Warehouse Project
Tasks & Responsibilities:
- Design of the DWH architecture
- Source system analysis, design, technical design, and data modeling for the ETL process and the target DWH
- Implementation of ETL, ODS, and data marts
Sources: Host, AS/400, MS SQL Server, various formats
Key Skills & Expertise:
- Data warehouse, ETL, data modeling
- Finance and controlling know-how
- MS SQL Server & Analysis Services
2001-2003, BOOM Software AG – Development of an ETL Tool
Tasks & Responsibilities:
- Concept, design, and implementation of the ETL tool
- Support for using the tool in projects
- ETL, data management
- Frontend and backend software development
1999-2002, Wolford AG – Central DWH Project
Tasks & Responsibilities:
- Design, modeling, and implementation of DWH & ETL processes
- Development of a code generator that implements ETL processes as Oracle PL/SQL packages
- Development of scheduling & monitoring processes and tools to operate the DWH
Sources: AS/400, POS systems
Key Skills & Expertise:
- Data modeling, ETL, BI
- Oracle DWH experience
1997-2000, RHI AG – Sales DWH
Tasks & Responsibilities:
- Design, modeling, and implementation of DWH & ETL processes
Sources: various
Key Skills & Expertise:
- Data warehousing, ETL, reporting
- MS SQL Server know-how