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Designs and builds cloud data pipelines, APIs, and ETL processes in GCP, AWS, or Azure while ensuring data quality and optimizing workflows.
Build full-stack features in React, React Native, and Node.js (NestJS) for a cloud-native virtual-care platform, using AI tools to accelerate coding, testing, and debugging.
Design and build a scalable data warehouse/lake and ETL/ELT pipelines using Databricks and Azure Data Factory to feed analytics and AI workloads across GEA’s global operations.
Build and maintain full-stack banking systems using Java/Spring Boot and .NET Core, React, and DevOps tooling to deliver secure, scalable financial services.
Builds and maintains cloud data pipelines and integrations using SQL, Python, and AWS services to ensure reliable data operations.
Designs and builds scalable Azure-based data lakes and pipelines, ensuring data quality and governance for clients in a collaborative tech firm.
Build and maintain full-stack applications using Python and React while ensuring compliance in a regulated life-sciences environment.
Builds and maintains data pipelines and Snowflake transformations to feed AI-driven analytics and decision-making systems using Python, SQL, and cloud platforms.
Validates data pipelines, ensuring accuracy and production readiness using SQL and Python; builds reconciliation frameworks and documents data lineage.
Build and maintain high-concurrency .NET and Angular apps, design event-driven APIs with Kafka, and write unit tests to ensure robust, scalable software.
Designs and builds data pipelines, warehouses, and lakes using Java, Python, Spark, and SQL to move and transform data for analytics and applications.
Build and maintain AWS-based data pipelines and ETL processes for healthcare data, transitioning to event-driven architectures.
Builds and maintains ecommerce sites using Magento 2 and WordPress, integrating new features and optimizing PHP-based systems.
Builds and maintains big-data pipelines in AWS or GCP using SQL, Python/Scala, and Spark to feed analytics and ML models for a financial-services company.
Build full-stack features for a healthcare platform supporting providers and patients, using .NET, React, AWS, and PostgreSQL.
Designs and builds ETL/ELT pipelines and data lakes, ensuring high-quality data flows using Java, Scala, Python, Spark, and Airflow.
Build and maintain scalable data pipelines and lakehouse architectures to power analytics and AI products using SQL, dbt, and cloud platforms like Databricks or AWS.
Builds and evolves a healthcare SaaS MVP in Bogotá, focusing on clean architecture, secure data handling, clinical features, APIs, and cloud deployment.
Build and optimize data pipelines and architectures for a startup using Python, big-data tools, and cloud platforms to support analytics and ML-driven products.
Build and optimize Snowflake-based data pipelines using SQL and Python to support digital transformation projects in a consulting setting.
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