About Stefan Paul
With 10+ years in ETL, integration, and data engineering, I build production-ready cloud data platforms end-to-end, specializing in ETL architecture, complex data transformations, and Spark-based processing to reengineer legacy pipelines into solutions that are faster, more reliable, and easier to maintain, with a strong focus on scalability, performance, observability, and long-term maintainability to deliver trustworthy data foundations aligned with BI and business requirements.
Romanian
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Spark RadianceAzure Solution ArchitectDIGITAL AND ITOctober 2025 - Today (8 months)Bucharest, RomaniaI own end-to-end architecture for Microsoft Fabric data platforms, from ingestion patterns to curated analytics layers. I design scalable lakehouse/warehouse implementations, standardize enterprise data warehouse artifacts, and ensure governance and secure access across environments.Key contributions / outcomes:- Designed Fabric ETL architecture (ingestion + transformation patterns, orchestration approach, and modeling strategy) for reliable enterprise reporting.- Led modernization migrations (Databricks → Fabric, SSIS → Fabric), refactoring orchestration and transformations to leverage Spark clusters and parallel/distributed processing.- Standardized Dimensions / Bridges / Fact tables using PySpark/Scala to improve consistency, performance, and maintainability.- Built a star-schema semantic model for Power BI reporting on trusted, curated datasets.- Implemented monitoring & failure alerting (Fabric Activator email notifications) to reduce time-to-detect and speed up incident response.- Implemented OneLake Security + secure platform practices; optimized Spark workloads, concurrency, and storage layout.- Set up development workflows with Azure DevOps Repos integration and Fabric Deployment Pipelines (DEV → UAT → PROD).- Led end-to-end data validation with business stakeholders before production releases.
- WE AS WEBData Engineering ConsultantAUTOMOBILEJune 2025 - November 2025 (5 months)Bucharest, RomaniaConsulting engagement for a UK automotive retailer: I extended an existing customer data platform by integrating a new customer data source and aligning it with established “Golden Customer” processes while preserving business rules and downstream dependencies.Key contributions / outcomes:- Assessed existing transformation architecture (SSIS invoking T-SQL stored procedures) and defined the integration approach for the new source.- Performed source-to-target analysis (field mapping, types, compatibility) and designed the transformation logic to match existing business rules.- Built/updated T-SQL stored procedures to ingest, transform, and consolidate data into Golden Customer outputs.- Supported orchestration via Azure Data Factory and Databricks to integrate the new pipeline into the broader platform.
- Spark RadianceSenior Azure Data EngineerDIGITAL AND ITJuly 2023 - September 2025 (2 years and 2 months)Bucharest, RomaniaI designed and delivered Azure data pipelines and curated datasets for reporting and analytics, with strong focus on reliability, security, auditability, and platform cost optimization. I also supported modernization initiatives toward Microsoft Fabric.Key contributions / outcomes:- Designed and developed ETL patterns on Azure for scalable ingestion and transformation.- Implemented logging + audit trail for Fabric Data Factory pipelines (run metadata + watermark strategy supporting full and incremental loads).- Implemented secure access patterns using RBAC and Managed Identity; enforced least-privilege access control.- Secured credentials and secrets via Azure Key Vault and improved overall security posture.- Built serverless integration components using Azure Functions where appropriate.- Refactored semantic layer logic by migrating a Tabular model into Fabric Lakehouse presentation layer (including DAX/measures alignment to preserve outputs).- Contributed to a Fabric migration strategy that reduced Azure operating/infrastructure costs by ~50%.- Improved stability via troubleshooting, operational hardening, and continuous optimization.
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Education
- Master's degree in Databases and Web TechnologiesFaculty of Mathematics and Computer Science, University of Bucharest2017Master's degree in Databases and Web Technologies
- Bachelor's degreeThe Faculty of Power Engineering, University Politehnica of Bucharest2011Bachelor's degree