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Build and maintain cloud-based data pipelines on Snowflake and AWS, transforming raw data into analytics-ready datasets for cross-functional teams in a healthcare company.
Lead a team building and maintaining ASP.NET/.NET Core backend and React frontend systems on Azure, ensuring high availability and resolving critical production issues for retail platforms.
Build and maintain scalable Node.js/React features with PostgreSQL and Drizzle ORM, focusing on offline-first capabilities and robust API design for a global client platform.
Builds and maintains batch and real-time data pipelines using Spark, Hadoop, and Python to power reliable, efficient data solutions for a product-focused team.
Builds a cloud-based life-insurance platform using full-stack development in an agile team.
Build and maintain data pipelines using Databricks, SQL, Python, and Azure Cloud to modernize banking technology and ensure reliable data infrastructure.
Build full-stack features for gaming and AI products using React, Node.js, and PostgreSQL in a remote-first team.
Senior Data Engineer designs and builds GCP-based data pipelines and optimizes cloud data solutions for a tech solutions provider.
Lead end-to-end development of an AI-powered platform using Python backend, React frontend, async frameworks like Quart, and tools like Docker, MySQL, and Redis.
Designs and builds scalable AWS-based data pipelines, ELT processes, and analytical models using Python, Spark/PySpark, and SQL for enterprise analytics.
Designs and builds scalable Snowflake-based data pipelines using SQL and Python to deliver reliable analytics solutions in a cloud environment.
Build full-stack AI products with TypeScript, React, Next.js, Supabase, and Tailwind, focusing on AI agent integrations, MCP servers, and LLM workflows using AI-assisted development tools like Cursor.
Build and maintain ETL/ELT pipelines to integrate sports and entertainment data into a cloud data warehouse, cleanse data, and support BI reporting.
Design and maintain cloud data platforms, building scalable pipelines with Python and BigQuery, and orchestrating workflows in Airflow.
Lead a .NET engineering team to build and scale healthcare SaaS products using C#, .NET Core, and Angular, while mentoring engineers and aligning product development with business goals.
Designs and maintains cloud-based data pipelines using Databricks, Python, and Airflow to ensure healthcare data is accurate and accessible for analytics and decision-making.
Builds and maintains full-stack .NET and React apps, deploys cloud-native services on Azure Kubernetes, and uses AI tools to accelerate development in a regulated fintech environment.
Builds enterprise-grade Python/Django and FastAPI backends plus React/Next.js frontends, deploys on AWS, and integrates AI models (OpenAI, LangChain) into scalable microservices.
Builds full-stack web apps using Angular for the front end and .NET for back-end microservices and APIs, with SQL Server, REST, GraphQL, and SOAP.
Build and maintain ETL/ELT pipelines to integrate sports and entertainment data into a cloud data warehouse, cleanse and standardize data, and support BI reporting.
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