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Build cloud-native apps using React, Node.js/C#, PostgreSQL, DynamoDB, and AWS; write tests with Jest/Playwright and maintain CI/CD pipelines with Terraform/GitLab.
Build cloud-native apps with React, Node.js, and C# on AWS (Lambda, ECS, SQS), design scalable data solutions, and own Terraform/GitLab CI/CD for a 6-month project.
Build and maintain cloud-native apps using React, Node.js/C#, PostgreSQL, and DynamoDB, deploying serverless and containerized services on AWS.
Build and optimize cloud-based data pipelines in Azure for healthcare analytics, using Azure Data Factory, SQL, and modern data architectures to support reporting and compliance.
Senior full-stack engineer building cloud-native apps with AWS, microservices, and serverless to process large-scale data and power business-critical services.
Build and enhance cloud-native full stack apps using Node.js, React, and AWS serverless services like Lambda and DynamoDB.
Lead a team to design and maintain large-scale ETL pipelines and OLAP data architecture on AWS, using S3 data lakes, Athena, Airflow, and Python, while enforcing code quality and guiding senior developers.
Build and maintain cloud data pipelines, ETL/ELT workflows, and ML model services using Python, SQL, AWS, Airflow, and dbt to power analytics and AI features for a logistics company.
Builds and maintains a visual AI-powered IDE using TypeScript, React, Tailwind, and Supabase; designs APIs and collaborates with designers to ship high-performance web apps.
Build and maintain Python REST APIs (FastAPI/Flask) and React/TypeScript frontends for a marketing analytics platform, validating data from ETL pipelines and ML models while using AI tools critically.
Build end-to-end data pipelines and cloud-native analytics platforms for finance and consulting clients, using AWS/Azure/GCP, Python, Spark, and MLOps tooling.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Build end-to-end data pipelines and cloud-native ETL systems for clients, using serverless functions, DevOps, and MLOps to extract, transform, and serve data via data lakes, warehouses, and APIs.
Build and scale the data pipelines and AI systems powering Panora’s AI agents for insurance brokers, focusing on reliability, traceability, and compliance.
Builds and optimizes scalable data pipelines and cloud-native architectures for clients, focusing on AWS, Spark, and serverless GenAI integrations while collaborating with ML and DevOps teams.
Builds and maintains data pipelines and cloud-based ETL workflows to feed analytics and dashboards for a finance-focused R&D team using Python, SQL/NoSQL, and serverless cloud.
Build and optimize large-scale data pipelines and distributed systems using Spark, Databricks, and AWS to power AI-driven B2B intelligence products.
Lead a team to design and build scalable data pipelines and platforms for clients, advising on cloud and big-data tech while enforcing DevOps, FinOps, and governance best practices.
Build and maintain scalable data pipelines using Python, SQL, Spark, and cloud services (Azure/AWS/GCP) to deliver clean, reliable datasets for analytics and AI teams.
Senior DevOps engineer leading cloud strategy and implementation on AWS/Azure, building serverless, containerized, and microservices solutions while driving Agile/DevOps practices.
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