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Build and maintain cloud-native apps using React, Node.js, and C#. Design scalable data solutions with SQL, PostgreSQL, and DynamoDB on AWS.
Design and maintain Azure-based security data pipelines and analytics platforms to centralize visibility across EY’s cloud and on-prem environments, using Data Factory, Databricks, and SQL.
Build and maintain Python backend and React frontend applications while integrating AI tools to speed up development, testing, and deployment.
Senior Data Engineer builds and optimizes AWS-based pipelines for healthcare data, migrating from batch ETL to event-driven streaming with FHIR, Glue/Spark, Redshift, and Kinesis.
Build and maintain full-stack Python back-end services and React front-end applications using AI-assisted coding tools like Cursor, Windsurf, and Claude Code.
Engineer and secure Azure data pipelines for global analytics, integrating security data and automating reporting to protect EY assets.
Build and maintain full-stack apps in Python and React, using AI tools to speed up coding, testing, and deployment while ensuring scalable, high-quality solutions.
Lead a remote team building cloud-native modules with Java and React, setting architecture standards, enforcing CI/CD, and mentoring developers.
Lead a team building scalable data pipelines and solutions in Java and Azure Databricks, integrating cloud-native data workflows.
Build and own critical React-based frontend components for Scale’s AI platform, integrating with Node.js/Python backends and distributed data pipelines to power large-scale AI model training and evaluation.
Builds full-stack apps for US clients using AI coding assistants daily, integrating Java, Python, C#, React, and Node in remote project-based work.
Senior Full-Stack Engineer building scalable Python/React systems with AI-assisted tools like Cursor and Claude Code to accelerate development and deployment.
Build and ship AI-powered features end-to-end, owning frontend, backend, and AI layers using Python or Node.js with production experience in LLMs.
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and AI-enabled solutions using Snowflake, Python, and Azure, delivering analytics and ML workflows for enterprise clients.
Lead a cloud-native migration for a fintech client, rebuilding a React/TypeScript frontend and Node.js backend on AWS with PostgreSQL while ensuring parity with legacy systems.
Build and maintain customer portals using React for the front end and Node.js/Java/Spring Boot for the back end, with PostgreSQL, Elasticsearch, Redis, and GCP.
Builds and optimizes AWS Glue and PySpark ETL pipelines for large-scale data reconciliation, validation, and migration on AWS.
Build and optimize AWS-based ETL pipelines using Glue, PySpark, and EMR Serverless to migrate and transform large datasets for a tech-sector client.
Builds secure identity management systems using AI for fraud detection and identity verification with JavaScript/TypeScript.
Lead a team to build automated BI pipelines and predictive analytics using Python, Databricks, SQL, and Tableau.
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