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Builds and maintains data pipelines using Azure Synapse, SQL, ETL/ELT, and PySpark to ingest and process data for impactful projects in a global team.
Lead the design and implementation of a scalable cloud data platform on Azure, building data lakehouse/warehouse solutions and ETL/ELT pipelines to support analytics and AI initiatives.
Build and optimize batch and real-time data pipelines using PySpark, Kafka, and GCP tools like BigQuery and Dataproc for large-scale data processing.
Build and maintain ETL/ELT pipelines and data models using SQL and Power BI, integrating Microsoft Dynamics 365 Business Central for an acoustic solutions company.
Designs and builds cloud-native data platforms on AWS, focusing on scalable ETL/ELT pipelines and data lake architectures for reporting-ready datasets.
Builds and maintains data pipelines for AI using Databricks, GCP, and Azure to feed model training, RAG search, and Power BI reporting.
Designs and builds scalable data pipelines and BI systems using SQL, ETL/ELT, and Power BI to deliver reliable analytics and dashboards.
Designs and maintains scalable data pipelines and warehouses, building ETL/ELT workflows and optimizing cloud storage for analytics and real-time processing.
Designs and maintains cloud-native data pipelines and data lakes on AWS, building scalable ETL/ELT workflows for analytics teams.
Designs and maintains GCP-based ETL/ELT pipelines to feed analytics and decision-making, using SQL, Python, and Airflow.
Designs and optimizes SQL databases for live gaming applications, focusing on schema design, query tuning, and ETL/ELT pipelines.
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).
Build and optimize Snowflake-based ETL/ELT pipelines, tune queries, and maintain cloud data platforms for enterprise clients in a managed-services role.
Design and maintain enterprise-scale data models in Snowflake using dbt to power analytics for a major integrated resort and casino.
Senior Data Engineer designs and builds scalable data pipelines and architectures to support analytics and AI initiatives at Spin.
Designs and builds scalable data architectures using Apache Iceberg, NebulaGraph, Spark, and Airflow to ensure traceable, governed, and accessible data pipelines.
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.
Design and maintain scalable data pipelines and ETL/ELT processes to support analytics and BI initiatives in a hybrid role.
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