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Lead a cross-platform mobile and full-stack team building scalable fintech and AI-driven apps with React Native, Node.js, AWS Serverless, and Web3 integrations.
Build full-stack features for AI-powered language solutions using Node.js, React, and MySQL, collaborating across teams to deliver end-to-end solutions.
Senior Full Stack Engineer builds AI-assisted SaaS products in Python (FastAPI) and React (Tailwind), owning end-to-end verticals from backend services to frontend UIs and AWS infrastructure.
Build and ship end-to-end features for an AI-powered event platform: database schemas, API routes, and React UIs that stream real-time results to customers.
Build and maintain programmatic advertising platforms, integrating ad formats (D2S, InVideo) with external platforms like Adform and DV360 using PHP, Node.js, React, and AWS services.
Lead a team of engineers building and scaling data systems for a fintech company, aligning technical strategy with business goals.
Build and maintain full stack features using Node.js (TypeScript) on the backend and React on the frontend, while collaborating with engineering, product, and operations teams.
Senior Data Engineer builds cloud-native AWS data pipelines in Python, migrating legacy ETL to a modern Data Lake for an energy-sector client.
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Build and maintain live SaaS products in a fast-paced Milan team, working with REST APIs, AWS/Lambda, PHP/Laravel and React.
Designs and builds scalable data pipelines using Hadoop, Spark, and Python to process large datasets for clients across industries.
Build and maintain scalable data pipelines and warehouses using Spark, Airflow, and AWS to power AI-driven fintech products for asset-based finance.
Designs and builds AWS-based data pipelines, data lakes, and cloud infrastructure to support analytics and ML workloads using infrastructure-as-code and serverless tools.
Designs and builds AWS-based data pipelines, migrates on-prem workloads to cloud, and sets up monitoring and CI/CD for scalable data platforms.
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Designs and maintains cloud-based data pipelines for luxury retail, focusing on sales and customer KPIs using Azure, Databricks, and Spark.
Build and maintain scalable ETL/ELT pipelines and data models in AWS using PySpark, Glue, and Delta Lake to power analytics and reporting for an Italian online grocery platform.
Design and build modern data platforms and scalable AI ecosystems for global clients using Spark, Hadoop, Kafka, and cloud/on-prem environments.
Build and maintain data pipelines, clean and transform data for analytics, and optimize systems using Python, SQL, and AWS services for a healthcare-focused role.
Build and maintain cloud-native, API-first financial platforms with AI-driven tools, integrating banking and insurance systems using PHP/TypeScript/Node.js and AWS serverless services.
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