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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.
Lead the design and optimization of scalable data platforms using AWS, Redshift, Oracle, and PostgreSQL, while mentoring engineers and architecting enterprise data pipelines.
Lead a team to design, build, and maintain scalable data pipelines and warehouses, ensuring reliable analytics and ML-ready datasets using SQL, Python, and cloud tools.
Lead the design and optimization of scalable data platforms on AWS (Redshift, Glue, S3, Lambda) using PL/SQL and PL/pgSQL, while mentoring engineers and driving enterprise data initiatives.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines on Azure Data Factory and Databricks, optimizing for cost, speed, and data quality.
Designs, builds, and maintains data pipelines using AWS, Redshift, and relational databases, optimizing queries and supporting scalable data platforms.
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.
Principal Data Engineer builds and optimizes cloud data pipelines on Amazon Redshift and AWS, using Python, SQL, and Apache Airflow to deliver scalable analytics and high-performance warehousing.
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.
Senior Data Engineer builds and maintains AWS-based data pipelines, writes optimized SQL/PLSQL/PLpgSQL queries, and supports Redshift/Oracle/PostgreSQL systems for scalable analytics.
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, Glue, EMR, and Redshift for a UAE customer.
Build and maintain ETL pipelines and data storage systems in AWS to power a B2B e-commerce platform serving Pakistani SMEs.
Build and maintain scalable data pipelines for AI systems, including ETL/ELT, data quality checks, and warehouse/lake architectures using Python, SQL, and cloud tools.
Design and build data infrastructure—ETL pipelines, data warehouses, and streaming systems—using Python, SQL, and tools like Airflow, Spark, and Snowflake.
Build and maintain scalable data pipelines and infrastructure for analytics and AI/ML in healthcare, ensuring data quality and compliance while collaborating with cross-functional teams.
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