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Build and maintain AWS-based ETL pipelines using Python, PySpark, Glue, Lambda, and Redshift to move and transform data for analytics.
QA engineer who designs and automates tests for Databricks data pipelines and cloud migrations on AWS/Azure, validating data accuracy and ETL logic.
Builds and maintains reliable data models in Databricks and Azure, transforming raw logistics data into clean, governed pipelines for Mexico and LATAM using PySpark, SQL and Python.
Design and build scalable cloud data pipelines and platforms using AWS services, Python, PySpark, and Databricks to deliver reliable, high-quality data for analytics and decision-making.
Build and maintain an enterprise data platform using PySpark, Azure Synapse, and Power BI to integrate, model, and visualize data for business stakeholders.
Build and optimize cloud-native data pipelines and warehouses on AWS using Python, ETL/ELT tools, and modern data stacks for analytics and ML workloads.
Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics.
Designs and maintains ETL pipelines using PySpark and Azure Synapse Analytics to integrate and process data for business insights.
Designs and builds ETL pipelines using PySpark and Azure Synapse Analytics to move and transform data for analytics and reporting.
Build and optimize reliable, scalable data pipelines using Python, SQL, PySpark, and Azure tools to feed analytics and AI models for enterprise clients.
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Build and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to process and transform data for clients.
Builds and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to deliver clean, analytics-ready data for insights.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Builds and maintains data pipelines and ingestion frameworks in a data lake, using Databricks/Spark and SQL to support Power BI reporting and ensure regulatory compliance.
Design and optimize Azure-based data pipelines using PySpark, SQL, and Databricks, and warehouse data in Snowflake while enforcing governance standards.
Builds and maintains data pipelines and ETL workflows in a data lake, using Databricks, Spark, and SQL to ingest and transform structured, semi-structured, and unstructured data for reporting.
Designs and builds scalable cloud data pipelines using Python, PySpark, Databricks, and AWS to ensure reliable data delivery and quality.
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.
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