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Designs and maintains ETL pipelines using PySpark in Azure Synapse, builds star-schema data warehouses, and ensures data quality from APIs, SQL, and CSV sources.
Build and maintain Python-based data pipelines and real-time streaming services to automate revenue operations for a fintech company.
Owns the Promotions Document financial process and automates data ingestion into enterprise reporting platforms using SQL, Python, and Excel with VBA.
Build and maintain enterprise-scale data pipelines using Azure Synapse and Databricks, integrating large datasets and supporting Power BI reporting.
Builds and maintains scalable, high-availability big-data pipelines for global clients in a fully remote role.
Senior Data Engineer at PwC Mexico builds data pipelines and models to turn large datasets into insights for tax and advisory clients, mentoring peers in a collaborative environment.
Senior Data Engineer at PwC Mexico’s Acceleration Center, building data pipelines, warehouses, and ML models to extract insights for global clients using Snowflake, Databricks, and visualization tools.
Maintains and troubleshoots AWS-based data platforms (Aurora, DocumentDB) to keep production systems reliable and incident-free.
Lead a data engineering team to build analytics pipelines and dashboards using Alteryx, Power BI, and Tableau for PwC’s Tax, Advisory, and Business Services clients.
Senior Backend Engineer builds and maintains data pipelines and REST APIs using Node.js, Java, and AWS, focusing on scalable systems and CI/CD in a remote setup.
Design and build data pipelines and warehouses using Microsoft Fabric, Azure Synapse, and Power BI for enterprise clients, ensuring performance, governance, and security.
Build and maintain Python-based data pipelines, REST APIs, and automation tools to process, clean, and expose data for analytics and internal tools.
Build and maintain scalable data pipelines for risk platforms using Python, AWS, Airflow, and Snowflake to support market and credit counterparty risk analysis.
Designs and builds scalable ETL/ELT pipelines using Python and AWS services for cloud-based data warehouses.
Designs and maintains ETL pipelines, processes data with Python and Databricks, and builds BI reports for life-sciences clients while ensuring regulatory compliance.
Build and maintain data pipelines for a Mexican fintech, integrating sources and transforming data with Python, SQL, and Spark to power business decisions.
Build and optimize data pipelines and retrieval systems for AI agents, ensuring scalable, high-quality data infrastructure that powers Salesforce’s AI-driven CRM platform.
Designs and maintains ETL pipelines using Python and Azure Synapse Analytics to ensure data quality for clients.
Build and maintain ETL pipelines using PySpark and Azure Synapse Analytics to move and transform data for accurate reporting and analytics.
Builds and maintains ETL pipelines using PySpark and Azure Synapse Analytics to ensure reliable data availability for analytics and reporting.
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