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Build and maintain end-to-end applications using Python, SQL Server and PostgreSQL, while automating workflows with AI techniques and DevOps practices.
Designs and builds ETL pipelines using Python and PySpark in Azure Synapse Analytics to move and transform data for clients.
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to integrate and deliver data for client insights.
Build and maintain full-stack web apps using Java Spring Boot, Node.js, Angular, and cloud serverless (AWS). Design secure APIs, microservices, and relational/NoSQL databases.
Builds and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to deliver reliable analytical data for reporting and insights.
Build and maintain full-stack web apps using React, Python FastAPI, and AWS for a global team, with a focus on scalable cloud solutions and AI-powered features.
Builds and optimizes GCP-based data pipelines, models data in BigQuery, and creates dashboards in Looker Studio for analytics.
Builds and maintains scalable web APIs and user interfaces for a long-term client project as a remote full-stack developer.
Builds and integrates generative AI and LLM-powered features into payment platforms using LangChain, LlamaIndex, FastAPI, and vector databases.
Full-Stack Senior builds and modernizes cloud-native apps on GCP using Node.js, Angular, and Python, integrating GenAI and CI/CD pipelines for financial, insurance, retail, and government clients.
Designs and implements data pipelines and ETL processes using Azure Data Factory to support Banco Estado’s operational and analytical needs.
Principal Data Engineer designs and optimizes scalable distributed data systems and pipelines for U.S. clients, working remotely with international teams.
Builds and maintains full-stack .NET applications with C#, SQL Server, and occasional Android work, mostly remote.
Builds and maintains ETL/ELT pipelines, models data warehouses, and ensures reliable data for reporting and analytics using SQL, Python, and cloud tools.
Build and maintain full-stack web apps for an educational institution using React, Java/.NET/Python/PHP, MySQL, and cloud services.
Designs and builds ETL/ELT pipelines and data models for a scalable data warehouse and lakehouse to power analytics and reporting.
Build and maintain OpenTelemetry-based observability pipelines on Azure, using Python and SQL to ensure data service continuity and incident prevention.
Designs and evolves a GCP-based data and AI platform, building scalable pipelines, analytical models, and DataOps processes to ensure data quality, availability, and governance.
Build and ship full-stack features using Java, Node.js, React, and cloud services on GCP, following agile practices and modern architectures.
Design and maintain cloud-based data pipelines and analytics solutions using AWS and Tableau to deliver business insights.
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