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Design and build Azure-based data platforms for banks in Dubai using medallion architecture, Databricks, and ETL pipelines to deliver analytics-ready datasets and support BI/AI workloads.
Designs and maintains Azure-based data pipelines, warehouses, and Databricks solutions, then builds Power BI dashboards to turn data into business insights.
Builds and maintains centralized data lakes and streaming pipelines using GCP, leveraging PySpark for ETL and data validation to ensure quality and drive insights for a UAE-based tech super app.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data for a super-app serving 45+ cities across Africa and Europe.
Design and build scalable data pipelines and cloud-native platforms using Python, SQL, Azure Synapse, and Microsoft Fabric for enterprise clients.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Senior Data Engineer builds and maintains data pipelines, cleans and processes complex datasets, and designs ETL/ELT workflows using Python, SQL, and AWS tools to power Presight’s GenAI-driven analytics platform.
Senior Data Engineer builds and maintains scalable data pipelines and platforms for logistics analytics, ensuring reliability, security, and performance for reporting and advanced use cases.
Builds real-time security data pipelines and cyber data lakes for a UAE SOC, integrating SIEM/SOAR feeds and threat intelligence to power incident response and compliance reporting.
Build and deploy cloud-native apps on Azure, automate CI/CD pipelines, and manage data lakes for real-time analytics and energy-trading workflows.
Build and deploy AI solutions (ML models, agents, RAG) for clients across industries, from data pipelines to production systems.
Designs and implements enterprise-scale data platforms (Data Lake, Warehouse, Mesh) using cloud and on-prem tools, then guides teams on best practices for storage, processing, and governance.
Lead a data engineering team building and maintaining a GCP-based data lake for an aviation company using Java and Spark.
QA DevOps engineer tests and validates cloud infrastructure and data pipelines for a major bank, automating tests with pytest and Terraform in Azure environments.
Design hybrid and multi-cloud architectures, modern data platforms, and ICT strategies for enterprise clients in finance, energy, and public sectors.
Build and optimize data pipelines and warehouses for clients in automotive, energy, finance, and media using Informatica PowerCenter, Oracle, and SQL Server.
Builds and maintains cloud-based data pipelines, transforms raw data into clean datasets, and integrates ML models for scalable analytics and visualization.
Design and build end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational and dimensional data in T-SQL/PySpark to deliver modern, scalable analytics platforms for enterprise clients.
Build and maintain large-scale data pipelines and scalable data architectures using Python, Spark, and cloud platforms like AWS/GCP/Azure.
Builds data pipelines, AI models, and Power BI dashboards to analyze student learning behavior and support educational decision-making.
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