Leading data engineering teams and delivering enterprise solutions for international clients at Creditsafe. Expert in AWS, Azure DevOps, Snowflake, Oracle, and cutting-edge AI tools.
AI Data Engineer with 5+ years of experience leading cross-functional teams and delivering enterprise-grade data solutions for international clients. Currently spearheading data engineering initiatives at Creditsafe with expertise in AWS, Azure DevOps, Snowflake, Oracle, and cutting-edge AI tools.
Previously led development teams at Kipi.Al Data Analytics and delivered complex enterprise solutions at Tata Consultancy Services, working directly with high-profile clients including GE Power, Healthcare, Investment Banking, and FinTech organizations. Recognized for driving automation initiatives, ML implementations, and successful data migrations.
Expert in Data Vault 2.0 architecture, Oracle E-Business Suite, Oracle Forms, API development, automation frameworks, and documentation standards. MSc Computer Science graduate from University of Glasgow with proven track record of transforming business requirements into scalable, intelligent data solutions.
AI Data Engineer at Creditsafe
Team Lead & Data Architecture Expert
MSc Computer Science, University of Glasgow
United Kingdom
Led the design and implementation of a comprehensive multi-cloud data platform at Creditsafe using AWS, Azure DevOps, and Oracle. Built end-to-end data pipelines with Airflow, dbt, and Data Vault architecture. Integrated Cursor AI for intelligent documentation and automated rule creation, reducing manual effort by 80%.
Successfully delivered data engineering solutions for 15+ enterprise clients including GE Power, Healthcare, Investment Banking, and FinTech organizations across Europe, Asia, and Americas. Led cross-functional teams in developing automated data pipelines, ML models, and API integrations. Managed complex data migrations from legacy Oracle systems to modern cloud platforms with zero downtime.
Architected and implemented intelligent automation frameworks using cutting-edge AI tools and ML algorithms. Built comprehensive documentation systems and rule engines that process millions of records with 99.9% accuracy. Led teams in developing scalable solutions for enterprise data processing and analytics.
Led successful migration of enterprise data warehouses from Oracle E-Business Suite to Snowflake and Redshift. Designed and implemented Data Vault 2.0 architecture with automated data quality checks. Built comprehensive ETL/ELT pipelines using dbt and Airflow, processing terabytes of data with real-time analytics capabilities.
Developed comprehensive real-time analytics dashboard for executive decision making. Built streaming data pipelines and processed data with Apache Spark. Created interactive visualizations with Tableau and Power BI, providing insights to 1000+ users across the organization.
Implemented enterprise-grade data security and compliance framework ensuring GDPR and SOX compliance. Built automated data masking, encryption, and access control systems. Developed audit trails and monitoring dashboards for regulatory reporting, protecting sensitive data across multiple regions.
I'm always interested in new opportunities and collaborations in AI Data Engineering. With experience leading teams and working with international clients, I'm ready to take on challenging projects and drive innovation in data engineering!