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Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Build and maintain data pipelines, cloud data warehouses, and RESTful APIs using Python, GCP, and FastAPI/Flask to support scalable data-driven applications.
Builds Python/FastAPI microservices and Angular frontends on GCP for a global IT services firm.
Senior Full-Stack Engineer building Python REST APIs and React/TypeScript UIs for a data-heavy marketing analytics platform.
Build and maintain backend services and frontend interfaces for a marketing analytics platform, integrating data from ETL pipelines, data lakes, and ML models using Python (FastAPI/Flask) and React/TypeScript.
Build and maintain full-stack Java/Python applications for Fitch’s core data and ratings platform, using React/TypeScript on the frontend and Spring Boot or Python APIs on the backend.
Builds full-stack Java/Spring Boot and React/TypeScript apps for Fitch’s core ratings and data platform, integrating APIs, cloud services, and AI tools to ensure scalable, secure, and high-performing financial data solutions.
Build and maintain full-stack Java/Python applications and data services for Fitch’s core ratings and data platform, using React/TypeScript, Spring Boot, and cloud-native tools.
Build and maintain full-stack web apps using React and Python FastAPI, deploy and scale them on AWS, and collaborate with global teams to deliver AI-powered solutions.
Build and maintain full-stack web apps using React and Python, deploy on AWS, and collaborate with global teams to deliver scalable AI-powered solutions.
Build cloud-edge software and applications for cellular network automation using Java/Kotlin/Python, React/Vue.js, and cloud platforms like AWS/GCP.
Build and integrate web apps, APIs, and AI-driven automations connecting ERP/POS systems using Node.js, Python, React/Vue, and cloud services like Azure.
Build and deploy production-grade AI systems, including LLMs and RAG pipelines, using Python and cloud AI platforms.
Build and improve AI-powered financial research tools using LLM, RAG, vector search, and agentic workflows for a market intelligence platform.
Build and optimize full-stack web and mobile platforms alongside AI-driven features like recommendations and chat interfaces using React/Next.js, Node.js, and LLM tools.
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
Build and maintain scalable ETL pipelines and CI/CD workflows on Azure Databricks and Microsoft Azure, enabling reliable data insights and cloud cost optimization for enterprise stakeholders.
Lead a data platform team to build and optimize ETL pipelines, cloud infrastructure, and AI integrations for a climate-focused energy company using Azure, Databricks, and DevOps tools.
Build and own a full-stack data platform for a global dry-bulk shipping company, integrating Python/SQL services with Azure, Microsoft Fabric, and external data to power commercial and operational decisions.
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