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Lead a team of nine engineers to build and maintain cloud data pipelines using Informatica and AWS services, extracting data into Redshift and Denodo for analytics.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Build and maintain full-stack web apps with AI integrations for a Mexico City-based tech company, working hybrid two days a week.
Build and maintain data pipelines to modernize insurance analytics, transforming raw data into reliable reports for decision-making.
Builds and maintains web apps using PHP/Laravel on the backend and Angular on the frontend for a Guadalajara-based development firm.
Builds, tests, and deploys full-stack web applications while troubleshooting issues across the stack and optimizing features.
Builds cloud-native apps with React, Node.js/C#, and AWS serverless services; optimizes SQL and NoSQL data models and sets up CI/CD pipelines.
Designs and builds scalable data pipelines on Azure using SQL, Python, Spark, Databricks, and Snowflake to enable reliable data processing and analytics.
Build and maintain scalable data pipelines and secure environments to power AI applications and R&D for agentic and autonomous AI solutions.
Build and maintain cloud-native apps using React, Node.js, and C#; optimize SQL/DynamoDB data solutions and AWS serverless/containerized services.
Build and maintain enterprise-grade Java backends with Spring and Angular frontends, deploying on AWS with Docker, Kubernetes, and CI/CD pipelines.
Design and maintain scalable data pipelines and warehouses to feed AI/ML models at a nearshoring hub for AI infrastructure.
Build and maintain full-stack finance analytics apps using Python (Flask, SQLAlchemy, Celery) and React/TypeScript in a collaborative agency setting.
Designs and maintains Azure Synapse ETL pipelines in Python (PySpark) to move and transform data for analytics and reporting.
Designs, builds, and optimizes data pipelines using SQL and Python in a fast-paced environment.
Builds scalable backend services and modern frontend interfaces for financial reporting using Python, Flask, React/TypeScript, and PostgreSQL.
Lead a team to design ETL pipelines for ERP data consolidation using Microsoft Fabric and Azure, ensuring AI-ready data quality and global stakeholder collaboration.
Designs and builds scalable cloud data pipelines using DBT, Databricks, Snowflake, and Airflow, mentoring engineers and setting technical standards.
Builds full-stack financial analytics tools using Python, Flask, React, and PostgreSQL for end-to-end reporting and data visualization projects.
Build and maintain scalable data pipelines and platforms to power AI/ML models for enterprise clients in a LATAM remote role.
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