Things I have built and worked on, with context, solution and tech stack.
5 of 5 projects
01Modern Data Stack
Data Engineering
SQL & Databases
DevOps
Global Data Analytics Platform
Context
End-to-end architecture and engineering project integrating global economic, demographic and weather data.
Solution
Built a modular ELT platform that automatically extracts data from the World Bank, Eurostat and OpenWeatherMap APIs, processes it in an in-process analytical database, transforms it through multi-layered dbt models and serves it in interactive dashboards.
Stack
Python
DuckDB
dbt
Apache Airflow
Docker
Metabase
REST APIs
02Freelance
Cloud
Data Engineering
SQL & Databases
Cloud Data Warehousing & Fabric Workload Optimization
Context
Building and operating cloud data pipelines, plus capacity and performance optimization for client projects.
Solution
Implemented data integration pipelines with Azure Data Factory and Microsoft Fabric. Automated extraction of metrics from semantic models using Python (sempy), SQL query tuning through targeted indexing, and analysis and optimization of nightly ETL workloads with regard to capacity unit metering in Microsoft Fabric.
Stack
Microsoft Fabric
Azure Data Factory
Azure SQL
PySpark
sempy
T-SQL
03Enterprise Integration
SAP & BI
SQL & Databases
SAP Data Integration & Financial/Workforce Reporting
Context
Integration and preparation of business-critical ERP data from SAP for business intelligence and controlling.
Solution
Extracted, cleansed and joined complex SAP table structures from finance (Universal Journal ACDOCA, planning data ACDOCP), materials management (SAP MM) and human capital management (SAP HCM, infotype PA0007) for automated analyses and reports.
Infrastructure and monitoring setup for production database and pipeline environments.
Solution
Deployed a fully containerized monitoring environment for real-time monitoring of PostgreSQL workloads, database metrics and pipeline health.
Stack
Docker
Docker Compose
PostgreSQL
Prometheus
Grafana
Postgres Exporter
05FinTech Case Study
Modeling
Conceptual Domain Modeling & Ontology
Context
Academic/architectural case study using Trade Republic as an example.
Solution
Developed a strictly formalized conceptual ontology model, defined semantic relation types and produced a complete UML class diagram to precisely represent core FinTech processes.