Martin S.

I am a Data Platform Architect passionate about designing and building modern data platforms that empower organizations to extract maximum value from their data. My expertise bridges traditional Data Analytics and AI-ready architectures. With hands-on experience across cloud-based data platforms, DataOps, and BI solutions, I help businesses transform complex, fragmented data environments into high-performance, scalable, and secure platforms. My approach combines strategy, architecture, and implementation, ensuring sustainable results and measurable business value. My key expertise includes: ✅ Data Platform Architecture: Cloud DW, Lakehouse, and Data Mesh solutions; Snowflake & Microsoft Fabric; performance tuning and cost optimization ✅ Data Engineering & Transformation: ETL/ELT pipelines, orchestration with Airflow/Glue, data ingestion (batch, stream, API) ✅ Data Governance & Metadata: Data catalog implementation (Purview, DataHub), lineage tracking, regulatory compliance (GDPR, HIPAA) ✅ Analytics & BI Enablement: Self-service analytics, dashboards (Power BI, Tableau), data hubs for ML and AI initiatives ✅ DevOps/DataOps for Data Platforms: CI/CD pipelines, Infrastructure-as-Code (Terraform, CloudFormation), monitoring, automation Selected Achievements / Case Highlights: ✅ Built a Snowflake-based data platform for a telecom client supporting 100+ daily data developers, consolidating multiple legacy systems, and improving performance ✅ Migrated a healthcare data platform to cloud (Azure), enabling near real-time analytics and self-service BI during COVID-19, with auto-scaling to handle increased workloads. ✅ Delivered a logistics data platform across 5 European companies, enabling cross-company analytics, self-service BI, and cloud-first managed services I help organizations turn data into actionable insights, improve operational efficiency, and unlock AI/ML capabilities. If you are looking for a trusted expert to design, implement, and optimize your data platform, I can help you achieve your goals 🚀