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Lead enterprise integration and data engineering for a neuroscience biopharma, designing secure, compliant data flows between ERP, CRM, clinical systems, and analytics platforms.
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.
Design and build scalable data pipelines and analytics solutions using C#, SQL, and cloud technologies to support business intelligence and reporting needs.
Designs and maintains scalable data architectures and ML pipelines, ensuring robust data governance and high-quality training data for NLP models.
Build and maintain AI data pipelines and infrastructure, including RAG architectures and Snowflake data warehouse, using Python, dbt, and React tools.
Design and build scalable AWS data pipelines and real-time streaming systems using Confluent Kafka for analytics and AI workloads.
Build and maintain scalable data pipelines to process raw financial data into reliable insights using Python and SQL.
Designs and builds cloud-based data warehouses and pipelines for a healthcare company, using SQL and BigQuery to support analytics and reporting across clinical and financial systems.
Designs and maintains Azure-based data pipelines for a banking project, using Databricks, Azure Data Factory, SQL, and PySpark to build and optimize data warehouses.
Senior Data Engineer builds and optimizes cloud data pipelines using Python, AWS, and Snowflake to support analytics and reporting for clients.
Build and maintain SQL-based data pipelines, ETL processes, and Power BI reports for a Spanish insurance company using Microsoft stack (SSIS, SSAS).
Design and maintain enterprise-scale data models in Snowflake using dbt to power analytics for a major integrated resort and casino.
Designs and maintains Databricks-based data pipelines and ETL processes using PySpark and SQL to ensure clean, accessible data for analytics and reporting.
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Designs and maintains scalable data pipelines and analytics solutions using SQL and Python, ensuring data integrity and supporting cross-team collaboration.
Senior Data Engineer builds and optimizes cloud data warehouses and pipelines for a healthcare analytics company using SQL and Google BigQuery.
Designs and maintains data pipelines, ETL processes, and data warehousing solutions using Snowflake and related tools to ensure reliable data flow and quality.
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Builds and maintains scalable ETL/ELT pipelines on Databricks and AWS to transform raw data into business-ready datasets for reporting and analytics.
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