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Design, build, and optimize AWS-based data platforms and ETL/ELT pipelines using PySpark, AWS Glue, EMR, and Redshift for a UAE client.
Design and build scalable AWS-based data pipelines and warehouses using Glue, EMR, Redshift, and Lambda to support analytics and BI teams.
Leads a team to design and maintain scalable data pipelines, ensuring clean, reliable data for analytics and decision-making using SQL, Python, and cloud services.
Lead a team to design and build scalable AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for a UAE client.
Lead a team to design and build scalable data pipelines, ensuring clean, reliable data for analytics and decision-making using SQL, Python, and cloud services.
Lead a team building and optimizing AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting for a UAE customer.
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for large-scale analytics.
Lead a team to build and optimize AWS-based data platforms using PySpark, Glue, EMR, and Redshift for large-scale ETL/ELT pipelines and data warehousing.
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, Glue, EMR, and Redshift for a UAE customer.
Designs, builds, and maintains data pipelines and analytics solutions using AWS, SQL, and big data tools to process structured and unstructured data.
Designs and builds data pipelines and analytics infrastructure using AWS services, SQL, Python, and big-data tools to support predictive modeling and business insights.
Build and optimize large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting for a UAE-based client.
Lead a team building and optimizing large-scale data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift to support analytics and reporting.
Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Build and optimize AI-assisted ETL pipelines to integrate and transform healthcare data for analytics and compliance, using SQL, Talend/SSIS, and cloud tools.
Builds and optimizes AWS-based data pipelines and lake architectures using PySpark, SQL, and Delta Lake to enable reliable, data-driven decisions.
Builds and maintains data pipelines for digital health applications, processing multimodal biosensor time-series data (accelerometer, ECG, PPG, EEG) using Python, cloud-native tools, and AWS services.
Senior Data Engineer builds and optimizes PySpark/EMR pipelines, a Hudi-based lakehouse, and data APIs on AWS to power real-estate analytics and ML models for lead generation and property valuation.
Builds and maintains AWS-based data pipelines using Python, PySpark, and AWS Glue to feed datasets and support BI dashboards.
Build and maintain scalable data pipelines on AWS, using Glue, Lambda, S3, Redshift, EMR, and PySpark to support analytics and data warehousing.
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