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Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to feed data for analytics and decision-making.
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.
Designs and maintains scalable data pipelines, warehouses, and governance frameworks using Python, SQL, and cloud tools to ensure clean, reliable data for analytics and reporting.
Senior IT Data Engineer builds and optimizes real-time data pipelines, implements security measures, and leads data architecture projects for Tyson Mexico’s data-driven operations.
Manage a team to build data pipelines, analyze large datasets, and create visualizations for tax compliance clients using tools like Alteryx, Power BI, and Tableau.
Data Engineer Associate at PwC Mexico’s Acceleration Center, building pipelines and analyzing large datasets to drive business insights using Snowflake, Databricks, and visualization tools.
Build and maintain ETL pipelines using Python and Azure Synapse Analytics for data warehousing and quality checks, with occasional Power BI reporting.
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Build real-time data visualization apps with React and Python backend services for a Mexico-based tech company.
Designs and optimizes data pipelines, ETL processes, and SQL-based data models for analytics, using big data tech and cloud resources.
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 and maintain a modern data stack (Airflow, Snowflake, Superset/Looker/HEX, Python) to transform raw data into analytics-ready marts and an AI-ready semantic layer for LLM querying.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure data quality for clients.
Architects and builds financial reporting and data visualization tools using Python and React for a consultancy serving finance clients.
Senior Full-Stack Engineer building financial reporting and data visualization tools using Python, Flask, React, and PostgreSQL.
Builds full-stack financial reporting and data visualization apps using Python, Flask, React, and PostgreSQL, collaborating with product and data teams.
Builds full-stack financial analytics apps with React frontends and backend services, focusing on scalable reporting and data visualization for clients.
Builds full-stack financial analytics tools using Python, Flask, React, and PostgreSQL for end-to-end reporting and data visualization projects.
Build and maintain data pipelines and cloud data warehouses (Azure, AWS) using PySpark, Databricks, SQL, and Qlik to support analytics and decision-making in a pharma company.
Build and maintain scalable Azure Databricks pipelines and data products for Daikin’s HVAC-focused data platform, ensuring reliability and enabling analytics and AI-driven insights.
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