About Alexander
Senior Data Platform Engineer with 15+ years of experience designing, optimizing, and modernizing enterprise data systems.
I help organizations build scalable, reliable data platforms on Azure and modern lakehouse architectures using Databricks and Microsoft Fabric.
My background combines deep enterprise database engineering experience with modern cloud data engineering practices. Having worked on critical banking production systems, I focus on building robust, high-performance data platforms that support analytics, reporting, and data-driven decision making.
Areas of expertise include:
• Azure Data Engineering and modern data platform architecture
• Databricks and Lakehouse implementations
• Microsoft Fabric data pipelines and lakehouse solutions
• ETL and data pipeline design
• Data modeling and analytics-ready data structures
• Performance optimization and reliability for large-scale data systems
• Database modernization and migration to cloud platforms
I am available for remote consulting engagements across Europe and help teams design, implement, and optimize modern data platforms from ingestion to analytics.
My linkedin profile:
English
Native or bilingual
Greek
Native or bilingual
Remote only
Primarily works remotely
Experience
- Independant industry professionnalData Platform Architect – Microsoft Fabric & Lakehouse AnalyticsJanuary 2024 - Today (2 years and 7 months)Athens, GreeceDesign of modern lakehouse analytics architectures using Microsoft Fabric.Implementation of ingestion pipelines, data transformation workflows, and semantic models for business analytics.Focus areas:• Microsoft Fabric Lakehouse• Data pipelines and orchestration• Analytics-ready datasets• Data platform architecture
- Independant industry professionnalSenior Data Engineer – Azure Data PlatformsJanuary 2023 - Today (3 years and 7 months)Athens, GreeceDesign and implementation of modern cloud data platforms using Microsoft Azure and Databricks.Development of scalable ETL pipelines, medallion architecture datasets, and analytics-ready data models.Technologies:• Azure Data Platform• Databricks / PySpark• Delta Lake• SQL / Data Warehousing• Data Pipelines and Lakehouse Architecture
- KyndrylLead Data Engineer – Enterprise Data PlatformsJanuary 2010 - Today (16 years and 7 months)Athens, GreeceOwn enterprise production data platforms supporting critical banking workloads. Architect and optimize analytics-ready data solutions using Fabric and Databricks. Define standards for ingestion, transformation, modeling, and consumption. Drive performance optimization, scalability, and cost-awareness initiatives. Establish monitoring, observability, and incident response processes. Provide architectural guidance and mentorship to engineering teams.
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Education
- Bachelor's Degree in Computer ScienceUniversity of Central Lancashire2003Bachelor's Degree in Computer Science
Certifications
- Microsoft Fabric Analytics Engineer Associate (DP-600)Microsoft2025
- • Microsoft Certified: Fabric Data Engineer AssociateMicrosoft2025