Stefan

Develop and maintain scalable batch data pipelines using Apache NiFi and other orchestration tools for automated ingestion. Orchestrate ETL and ELT workflows with Apache Airflow, ensuring robustness and reliability for daily operations. Build Spark and PySpark applications to transform and aggregate large data volumes for analytics. Design data warehouse and Lakehouse models using dimensional modeling and Data Vault, in both on-prem and cloud-ready contexts. Collaborate with analysts, engineers, and business teams to translate requirements into technical solutions that are ready for cloud deployment. Implement data quality checks, validation steps, and alerting mechanisms within pipelines to maintain trust in data.

Developing an internal analytics product on Microsoft Fabric, designing Lakehouse-based data models, orchestrating pipelines, and enabling self-service analytics in the cloud. Experience with both batch and real-time processing, integrating data from heterogeneous enterprise systems into cloud-ready data platforms. Focused on meeting and exceeding client expectations by applying best practices in data modeling, ELT/ETL, and cloud architectures, ensuring data usability and reliability for analytics and reporting.

Designed and implemented data ingestion and transformation pipelines on Microsoft Fabric, leveraging Lakehouse architecture and Pipelines. Integrating data from multiple enterprise systems into OneLake / Fabric Lakehouse to create a unified analytical layer for internal products. Optimizing query performance, storage layout (files/partitions), and pipeline scheduling with a strong focus on cloud cost efficiency and scalability. Collaborating with product owners and analysts to design business-friendly semantic models that can be served directly to Power BI and self-service users. Applying cloud-native best practices around security, monitoring, and reliability in Azure/Fabric environments.

Designed and developed reporting and analytics solutions for telecom business stakeholders, supporting marketing, sales, and operational use cases. Implemented ETL processes and data transformations using SQL / PL/SQL on top of Oracle-based systems, with an eye toward future migration to cloud/Fabric-based platforms. Created dashboards and KPI reports (via SQL and BI tools) to support decision-making in commercial and operational domains. Worked closely with business users to define metrics, validate calculations, and improve data quality across reports.