ETL Experts in Vienna

Alexander P.

Interim CIO / Head of IT · Program Management · Enterprise Architect · SAP S/4HANA · AI & Data

Last position:

Owner & Lecturer at Own company for AI governance and data products, Vienna

Consulting and interim management at the interface between IT operations and regulation
Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
Training for governing bodies and employees on regulatory obligations
Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
Supervision of master’s theses and participation in the examination board
Presentations for business and educational institutions
Design and development of data and AI products, platforms and pipelines
Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
MLOps and AIOps in live operations
Own applications under own brand: shared codebase, separate delivery for each target device
AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
Publications on data sovereignty, cloud economics and industrial image processing
AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics

Stefan M.

Senior SAP Architect | Enterprise Analytics & Data Architecture

Bisamberg

Last position:

SAP Architect at Manufacturing Industry

SAP Business Data Cloud / Datasphere rollout

Technologies: SAP Datasphere | SAP BTP | SAP Analytics Cloud | ETL / ELT | Security & Governance

Tasks / Responsibilities:

Designing and implementing data architectures in SAP Business Data Cloud / Datasphere
Designing spaces, data products, and data flows for integrated data models
Connecting SAP and non-SAP systems via SDI, ODP, APIs
Integration with SAP Analytics Cloud for self-service analytics
Building governance, security, and authorization concepts
Creating architecture guidelines & performance optimization

Results / Achievements:

Introduced a central data catalog & authorization concept
Laid the foundation for self-service analytics

Stefan D.

BI Consultant in Controlling

Last position:

BI Consultant in Controlling at Reutter GmbH

Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
Creation of sales reports in Power BI
Training employees in business intelligence
Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)

Stefania D.

Analytics & Data Engineer

Last position:

Data Engineer at Storebox

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).

Marcel S.

Senior AI Engineer

Last position:

Senior AI Engineer - Python at Insurance Company

Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock

Achievements:

Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.

Daniel A.

Solution Architect and Fullstack Developer

Last position:

Solution Architect and Fullstack Developer at IoT Sensor Data Processing and Evaluation

Develop a concept for the analysis of sensor data.
Assess implementation options, products, and pricing in Azure.
Present and advocate the solution concept to the client.
Implement an ETL pipeline for processing sensor data.
Integrate BI solutions with the data repository.
Provide documentation and support for end users.

Fabio G.

IT Architect, Requirements Analyst and Consultant

Last position:

IT Architect, Requirements Analyst and Consultant at CANCOM

Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
Takes over and stabilizes existing solutions after a short handover
Business analysis and requirements engineering for migration to a new cloud environment
Optimization of machine learning models for feature extraction and customer profiling
Ensures data protection and compliance
Leads the migration of on-prem systems to Microsoft Fabric
Designs new AI platforms for clients
Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication

Michael G.

Scrummaster

Last position:

Scrummaster at Xenovo

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

Benjamin A.

Program / Project Management

Last position:

Multi-Project Manager at Trading Company

Setup of a new Data Warehouse (Budget ~€15M 2025 – 2026)
Backend modernization project (Budget ~€5M 2025 – 2026)
Standard software rollout with custom programming (Budget ~€9M 2025 – 2026)

Gerald G.

Data Warehouse Architect and Lead Data Modeler

Last position:

Data Design Authority at Department of Government Enablement

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

Octavian G.

DWH Technical Analyst

Last position:

Oracle DWH Analyst at Infomotion Gmbh

Oracle PL/SQL, Oracle SQL, ITIL

Kevin L.

Data Engineering & DWH Data Engineering Environment

Last position:

Data Consultant at VBV Pension and Provident Fund Austria

Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support for the standardization of process documentation to improve transparency, consistency, and traceability across all operational workflows. Contribution to defining documentation standards, templates, and governance principles for internal process management and audit readiness.

Gasper Z.

Senior Data Engineer