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Data & AI Solutions Architect — GCP GTM Leader
Designs and sells Google Cloud Data & AI solutions (Vertex AI, BigQuery, Dataflow, Looker) to enterprise clients, leading GTM strategy and client workshops.
Lead Software Engineer
Lead a team building scalable travel systems: high-performance search, real-time pricing, supplier integrations, and AI-powered customer tools using TypeScript, Java, Go, Rust, and Python.
(AI) Solutions Architect
Design and scale multi-agent LLM systems, RAG architectures, and LLMOps pipelines on GCP, while mentoring AI engineers and enforcing engineering standards for production-grade AI applications.
Senior Solutions Architect - AI and Core Networks
Design autonomous network solutions for telecoms using AI frameworks (Vertex AI, LangGraph), APIs, and vector databases to optimize agentic systems and reduce inference costs.
Data Architect
Design cloud-native data platforms and AI solutions for clients, focusing on scalable architecture, real-time analytics, and secure data governance across hybrid cloud environments.
Product Analyst (e-commerce)
Product Analyst at a large Ukrainian e-commerce marketplace, analyzing user funnels, A/B tests, and behavior to drive revenue-focused product decisions using GA4, BigQuery, and BI tools.
Applied Artificial Intelligence and Machine Learning Lead
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
Data Engineer
Build and maintain scalable data pipelines and cloud-native systems to power AI applications, using Python, Kafka, AWS/GCP, and ELK stack.
Data Analytics Engineer II (Fintech, Hybrid)
Build and maintain data pipelines and analytics models for a fintech payments platform using SQL, Python, BI tools, and modern data warehouses.
Data Platform Engineer
Design and build Google Cloud-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech company.
Data Platform Engineer (hybrid or remote)
Build and maintain GCP-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech company.
Data Engineer – Cloud & Analytics
Build and maintain a modern cloud data lake on Google BigQuery, designing end-to-end pipelines in Python and SQL to feed Salesforce and marketing systems for a major Italian banking group.
GCP Data Engineer/Data Architect
Designs and builds scalable GCP data pipelines and architectures, focusing on security, compliance, and ELT workflows to turn raw data into business insights.
Senior AI Platform & Data Engineer
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Cloud Data Engineer: BigQuery, AI-Ready Pipelines
Design and maintain Google Cloud Platform data pipelines using BigQuery, ensuring data quality, governance, and security for AI and analytics initiatives.
Senior Full-Stack Dev (Python & React) – Automotive Impact
Builds full-stack features in Python (FastAPI) and React/TypeScript, integrating BigQuery and AlloyDB, and automating tests and CI/CD pipelines.
AI LLM Engineer - Autonomous Network
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Data Engineer, Google Cloud Platform – Hybrid (Remote/Onsite)
Designs and maintains data pipelines on Google Cloud Platform, using BigQuery, Data Fusion, and Cloud Composer to build scalable data warehouses and dimensional models.
Senior Analytics Engineer
Build and maintain scalable data pipelines in BigQuery using Dataform/SQL, migrate enterprise data from Teradata, and own a Common Data Model hub to ensure consistent KPIs and trusted data across teams.