17.11.2025 aktualisiert

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Senior Cloud & Data Architect, AI Consultant with Google Cloud expertise

Unterhaching, Deutschland Dipl. Engineer, Automation of Machinery Building
Unterhaching, Deutschland Dipl. Engineer, Automation of Machinery Building

Profilanlagen

CV Nikolay Tonev.pdf
Mars-Wrigley Reference.pdf
MediamarktSaturn Technology Arbeitszeugnis.pdf
Cloudreach_Tonev, Nikolay_AZ_31.03.2024.docx.pdf

Über mich

Google Cloud Senior Data Architect (25+ J. Exp.). Ich verwandle Anforderungen in robuste Analytics-Lösungen auf der GCP. Experte für performante Systeme mittels BigQuery, Dataflow & GKE, die als Basis für KI/ML dienen.

Skills

JavascriptAirflowAmazon Web ServicesAmazon S3Data AnalysisMicrosoft AzureBigqueryCloud ComputingComplianceContinuous IntegrationData ArchitectureData GovernanceDatenintegritätETLData MigrationDatenqualitätDatensystemeData WarehousingIngenieur-designprozesseDevopsPythonSQLStreamingDatenverarbeitungKatalogeGoogle CloudEnterprise Application PlatformKubernetesSicherheitsbestimmungenMultiplattformDaten-PipelineGolangProgramming Languages
Google Cloud Platform (GCP)
Certified Professional Cloud Architect, Data Engineer, and Developer with extensive experience designing and implementing cloud-native data analytics solutions on GCP.

Data Analytics
Expert in BigQuery, Dataflow, Pub/Sub, and data warehousing solutions with proven ability to migrate large-scale data systems and implement real-time streaming pipelines.

Kubernetes & DevOps
Experience architecting GKE platforms for enterprise applications, enabling autonomous resource provisioning and accelerated development cycles with CI/CD integration.

Cloud Multi-Platform Expertise
Knowledge of AWS (S3 to BigQuery Migration) and Azure alongside primary GCP focus, enabling cross-platform data migration strategies.

Data Governance
Implementation of data quality frameworks, cataloguing systems, and security/privacy protocols to ensure regulatory compliance and data integrity.

Programming Languages
​​Proficiency in Python, Go (Golang), SQL, JavaScript, with learning experience in Rust for building robust data processing applications.

Data Pipeline Engineering
Design and implementation of scalable data pipelines using Dataflow, Cloud Composer (Airflow), Dataproc, with ETL/ELT optimisation techniques.

https://www.credly.com/users/nikolay-tonev.a60be769/skills
 

Sprachen

BulgarischMutterspracheDeutschGrundkenntnisseEnglischverhandlungssicher

Projekthistorie

Senior Cloud Data Architect

Cloudreach/Eviden (an ATOS Company)
Architected a self-service Google Kubernetes Engine (GKE) platform for a major financial institution, designed data-product-oriented platform architecture for UK Department for Transport, drove business growth for 'One Cloud' business line, and provided strategic guidance on cloud initiatives as part of the CTO Authority.

Senior Software Engineer

Media MarktSaturn
Engineered scalable GCP data pipeline using Dataflow and Python to migrate 1TB of customer data from AWS S3 to BigQuery, established a central Customer Data Platform serving over 100 marketers, improved data accuracy with serverless solutions, and orchestrated efficient data processing workflows.

Demand Capability Senior Analyst

MARS (Wrigley)
Led IT development for the global 'Perfect Store' program, managed third-party development team to re-platform legacy sales force system, and implemented agile development cycles to deliver high-priority business requirements within 3-4 month timeframes.

Zertifikate

Professional Cloud Architect Certification

Google Cloud

2024

Professional Cloud Developer Certification

Google Cloud

2023

Professional Data Engineer Certification

Google Cloud

2023


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