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Design and maintain scalable data pipelines in Python or Java, optimizing cloud-based storage and ensuring data integrity for analytics teams.
Design and maintain scalable data pipelines for a global flavors and fragrances company, transforming raw data into business-ready datasets to power analytics and AI initiatives.
Designs and builds AWS-based data pipelines and feature stores using Python, SQL, and tools like Glue and Sagemaker to support analytics and ML workloads.
Design and maintain data pipelines and ETL workflows to process and transform raw data into actionable insights for business reporting and analytics.
Lead a team building data pipelines and real-time analytics for e-commerce/travel clients using Kafka, Spark, and cloud platforms.
Builds and migrates backend services in C#/.NET to Azure while assisting with full-stack tasks using JavaScript and CSS in a hybrid team.
Build and deploy AI-powered applications using LLMs, vector databases, and RAG pipelines. Integrate models with APIs and scale data pipelines for large datasets.
Build and maintain enterprise-scale data pipelines using Microsoft Fabric, Python, PySpark, and SQL to deliver analytics-ready datasets and Power BI reports.
Builds and maintains backend services in Node.js for a staffing and consulting firm, working hybrid in Mexico.
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Modernizes legacy systems and builds web apps using .NET for backend and modern front-end stacks.
Build and scale an AI-driven product catalog platform, owning backend services, APIs, and frontend apps with 7+ years of full-stack experience.
Build and maintain cloud-based data pipelines using Databricks, PySpark, and Azure Synapse to feed AI forecasting models for a finance client.
Build and optimize scalable data pipelines for a Latin American fintech marketplace, using Azure Data Factory, Databricks, and Data Lake Storage to feed analytics and decision-making.
Architect and build a modern Lakehouse on Azure + Databricks for a Fortune 100 multinational, designing scalable data pipelines and enabling analytics and ML across the enterprise.
Data Engineer wrangles and transforms raw data into clean, usable formats using SQL, databases, and tools like Tableau Prep or Dataiku for analysis and reporting.
Build and maintain scalable data pipelines and infrastructure to power AI applications using LLMs, retrieval systems, and agentic architectures for enterprise clients.
Lead a global insurtech SaaS platform, designing and maintaining scalable full-stack systems while mentoring engineers and driving best practices.
Build and maintain scalable data pipelines for audio ad campaigns, ensuring clean, reliable data for analytics and reporting using SQL, Python, and cloud tools.
Leads modernization of web and mobile apps using .NET and Azure, optimizing SQL databases and building cross-platform mobile solutions.
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