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Design and maintain ETL pipelines and data dashboards, integrating and transforming data with SQL, Python, and BigQuery for KPI tracking and reporting.
Designs and builds scalable data pipelines on Google Cloud Platform (BigQuery, Data Fusion, Airflow) to support HR analytics and business decision-making.
Designs and builds scalable cloud data pipelines using Python, PySpark, Databricks, and AWS to ensure reliable data delivery and quality.
Build full-stack features for a lawn-care marketplace using React, TypeScript, PHP/Laravel, and Node.js, deployed on AWS with Kubernetes and CI/CD.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL to extract, transform, and load data from APIs, databases, and files into scalable data warehouses.
Build full-stack features for an AI-powered SaaS platform serving the creator economy, shaping product architecture and mentoring peers.
Build and optimize AI/ML data pipelines that transform healthcare data into high-quality datasets for model training and real-time inference.
Architect and build scalable AI-driven systems, integrating LLMs into robust applications using Rust or Golang alongside full-stack development.
Build and maintain SaaS veterinary software using Elixir for the backend and React for the frontend, improving clinic workflows and patient care.
Designs and maintains ETL pipelines using AWS Athena, writes SQL queries, and builds Tableau dashboards to validate and deliver data for analytics.
Leads cloud-native app development using Angular and Node.js on AWS, mentors junior engineers, and collaborates across teams in a hybrid role based in Guadalajara.
Build and maintain web apps using Python/Django on the backend and Vue.js on the frontend, deploying to AWS with Docker.
Designs and optimizes HR data models and pipelines, mapping sources to destinations and tuning 10-year storage and query performance.
Senior full-stack engineer building scalable web apps with Java/Spring Boot backend and React frontend, mentoring teams and owning CI/CD pipelines.
Builds secure, user-focused B2B digital solutions using Angular and AWS in a hybrid Mexico City office.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to productionize insurance-focused solutions.
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to move prototypes into production.
Builds and maintains Java microservices and REST APIs to enhance data discoverability and AI readiness for MSCI’s global data catalog platform.
Designs and maintains scalable ETL pipelines and data processing systems to feed AI models, working closely with AI engineers.
Build and maintain cloud-native data pipelines on AWS, landing data into Snowflake via dbt Cloud and Python, while optimizing performance and cost for analytics-ready datasets.
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