๐Ÿš€ My Approach to Data Solutions

Full-Stack Data Capability

I work across the entire data value chain: building reliable data pipelines, performing analytical deep-dives, and creating business intelligence solutions. After 20 years in IT, I can spot a fragile data architecture from the requirements document.

Enterprise + Modern Tool Integration

With deep Microsoft ecosystem expertise (Azure, Power BI) and growing proficiency in modern open-source tools (PostgreSQL, dbt, Grafana), I bridge traditional enterprise approaches with current best practices. I choose PostgreSQL because I've debugged enough exotic databases at 2am.

Business-First Analytics

PowerBI gets enterprise adoption. Fancy custom dashboards get abandoned. I've seen thousand-dollar BI projects fail because teams chose trendy tools over proven ones. Banking taught me that 'good enough' beats 'perfect' every time.

๐Ÿ’ผ Professional Experience

DHL IT Services - ITS DSC Solutions Domain Consultant (2021-Present)

  • Security Champion - member of Security implementation group representing DSC Solutions Domain
  • Delivered multiple data engineering projects with hands-on Python, MySQL, PowerBI, and Grafana implementation
  • Participating in Azure-related project design and architecture development
  • Implementing application monitoring and observability systems using Grafana and Prometheus

Previously: ฤŒSOB Bank, Novartis, Fujitsu Technology Solutions

  • Managing Architect for Microsoft 365 & cloud solutions
  • IT Service Delivery across Fortune 500 companies
  • 20+ years of IT experience across banking, logistics, healthcare, and energy sectors

๐ŸŽฏ Professional Interests

I'm passionate about the complete data lifecycle - from robust data engineering foundations to insightful analytics and compelling business intelligence. When enterprise data pipelines break at 3am, you learn what 'reliable' really means. Most 'modern data stack' implementations I see will be unmaintainable in 18 months.

Areas of focus: End-to-end data platform design, advanced analytics, dashboard architecture, and enterprise-grade security compliance.

Open to discussions about data strategy, full-stack data solutions, and helping companies avoid expensive data mistakes.