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Builds and modernizes a healthcare admin app: migrates legacy PHP/Python to Node.js, writes React 18 UIs, and connects SQL Server 2022 with GCP services.
Lead a team to build and scale data pipelines using Java and AWS, ensuring robust, high-performance data platforms for enterprise clients.
Builds and maintains full-stack microfrontend and cloud solutions, defining technical architecture for a high-visibility project.
Build and maintain scalable data pipelines on Google Cloud, enabling reliable analytics and modernizing legacy systems with Dataform, Python, and SQL.
Build and maintain web apps using React/Angular/Vue on the frontend and Node.js/Java/.NET/Python/PHP on the backend, with SQL/NoSQL databases and Git.
Build and maintain full-stack web and mobile apps using Java/Spring Boot, Node.js/NestJS, and React/Next.js in an agile team.
Build and maintain scalable data pipelines for LATAM Airlines’ sustainability platform, integrating corporate sources into a reliable, traceable data architecture using GCP tools like BigQuery, Dataflow, and Dataform.
Builds modern web apps with Angular 20+ and NestJS, creating reusable Web Components and RESTful APIs while ensuring code quality through testing and architecture best practices.
Senior Data Engineer builds and maintains Snowflake and dbt pipelines for a global tax-compliance platform, owning the revenue data chain from billing to financial close and ensuring outputs support finance and AI consumers.
Build and maintain full-stack web apps using TypeScript, REST APIs, and microservices; integrate OAuth2/JWT, Kafka/RabbitMQ, and cloud platforms like AWS/Azure/GCP.
Data Engineer builds and maintains cloud data pipelines on GCP and OCI, using Kubernetes, Docker, GitLab CI/CD, and OAS documentation.
Build and maintain transactional web portals and RESTful APIs for a Chilean insurer using Angular, Node.js, Java/Spring Boot, and MS SQL Server.
Build and maintain scalable data pipelines and infrastructure to support AI-driven services using Python and SQL.
Build and maintain cloud-based ETL pipelines in Python, automating data workflows while collaborating with data science teams.
Data Engineer designs and migrates data pipelines, builds scalable architectures, and works with SQL/NoSQL, Go, Kotlin, Python, Maven, and AWS.
Designs and builds scalable AWS data pipelines in Python and SQL for batch and streaming workloads, integrating AI-ready components.
Builds full-stack web apps using React for the frontend and Java Spring Boot for the backend, integrating Oracle Cloud Infrastructure services and Oracle databases.
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
Design and maintain a Snowflake-based financial data pipeline and dbt models for revenue recognition and close processes, ensuring accuracy for finance teams and AI consumers.
Build and maintain full-stack applications using Java/Spring Boot, Vue/React, PostgreSQL/SQL Server, and Kubernetes, with automated testing and hybrid work in Santiago.
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