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Design and build data pipelines, warehouses, and analytics solutions for Emirates Group using Azure, Spark, Kafka, and SQL to support airline operations and reporting.
Build and maintain Java SpringBoot microservices for a banking client in Abu Dhabi, deploying on AWS with IAM, Lambda, EKS, and Kafka.
Senior DevOps Engineer to migrate and optimize travel-tech infrastructure on AWS, using Kubernetes, Terraform, and CI/CD pipelines while ensuring high availability and compliance.
Senior Data Engineer builds and maintains AWS-based data pipelines and Redshift warehouses using Python, SQL, Glue, and Lambda.
Builds real-time data pipelines and ETL workflows on AWS (Glue, Redshift, Lambda) to feed scalable analytics platforms for a data-focused product team.
Build and deploy multi-agent AI systems using LLM APIs (Bedrock, OpenAI, Mistral), LangGraph/LangChain, and AWS serverless tools; focus on execution, not design.
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.
Design and build scalable AWS-based data pipelines and warehouses using Glue, EMR, Redshift, and Lambda to support analytics and BI teams.
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 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.
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.
Build and deploy multi-agent AI systems using LLM APIs, agent frameworks, and AWS services, focusing on execution and integration rather than design.
Senior Data Engineer builds and maintains AWS-based data pipelines using Redshift, Oracle PL/SQL, and PostgreSQL, optimizing queries and ETL workflows for scalable analytics.
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.
Build AI-powered systems using Python, FastAPI, and LLMs; develop agentic AI, RAG pipelines, and workflow automations; deploy on AWS.
Lead the design and optimization of scalable data platforms on AWS, building ETL pipelines and warehouses using Redshift, Oracle PL/SQL, and PostgreSQL PL/pgSQL.
Build and maintain AWS-based CI/CD pipelines, containerized services, and cloud infrastructure using AWS CDK, ECS, and Docker for a backend team using Flask APIs and MySQL.
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