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Senior Data Engineer builds cloud-native data platforms and MLOps pipelines, enabling AI/ML model deployment and analytics across AWS, GCP, and Azure.
Leads BI and data-platform engineering for a large retail group, designing data warehouses, ETL pipelines, and Power BI dashboards to deliver analytics across the business.
Leads a team to design, build, and deploy Azure-based data pipelines and analytics solutions using Databricks, PySpark, and SQL, ensuring scalability and governance.
Lead a data engineering team to build and operate a secure, scalable Databricks lakehouse on Azure for banking analytics, AI, and regulatory reporting using Kafka, dbt, and Unity Catalog.
Leads Azure-based data engineering projects, building and optimizing scalable data pipelines and analytics platforms for a dynamic team in Dubai.
Lead the design and implementation of AI-enabled data platforms and orchestration systems, overseeing architecture, data models, and offshore team delivery for enterprise transformation.
Designs and builds scalable data pipelines and Power BI dashboards for HR analytics, and supports AI/ML initiatives to automate reporting and insights.
Leads Azure-based data pipelines and analytics platforms using Data Factory, Synapse, Spark/Databricks, and Power BI, while mentoring a team of engineers.
Lead a team to migrate a legacy Oracle data warehouse to Amazon Redshift, optimizing performance and mentoring engineers using AWS Data Engineering and Redshift expertise.
Design, build, and optimize AWS-based data platforms and ETL/ELT pipelines using PySpark, AWS Glue, EMR, and Redshift for a UAE client.
Lead a team to design and optimize data platforms using AWS, Redshift, Oracle, and PostgreSQL, while mentoring engineers and overseeing data migration projects.
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.
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.
Designs and maintains scalable data pipelines using Azure Data Factory, Synapse Analytics, and PySpark to ensure high-quality, secure data access for analytics.
Lead data engineering initiatives for Pakistan’s national database authority, building and maintaining large-scale data pipelines, warehouses, and systems to support government decision-making.
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.
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