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Design and build large-scale data pipelines and infrastructure for a government client in Abu Dhabi, supporting AI/ML initiatives and public-sector digital transformation.
Build and maintain scalable data pipelines and warehouses for an AI-driven e-learning platform, integrating SaaS tools and enabling analytics across Product, Marketing, and Revenue teams.
Design and build scalable data pipelines using Python, PySpark, Databricks, and AWS for enterprise clients.
Designs and builds Java-based backend services using Spring Boot and microservices to create and maintain workflow orchestration systems with platforms like Orkes Conductor.
Build and optimize large-scale PySpark and Python data pipelines on Cloudera for banking and digital-product analytics, ensuring high-quality, secure data flows that power BI and ML workloads.
Build and own the cloud, CI/CD, and reliability foundation for AI-powered workflows at an early-stage startup, scaling from client deployments to a repeatable operating model.
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.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
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 and maintain scalable data pipelines and warehouses using SQL, Python, and cloud tools (AWS/GCP/Azure) to feed analytics and ML workloads.
Designs and maintains scalable data pipelines and warehouses, integrating sources with ETL/ELT workflows to power analytics and AI while ensuring data quality, security, and governance.
Builds and maintains BI dashboards and data visualizations using Power BI, Tableau, or QlikView to turn complex data into actionable business insights.
Senior full-stack engineer building and maintaining a live AI-driven platform using Python backend APIs, modern frontend frameworks, and scalable databases with Temporal workflows.
Design and maintain AWS-based data pipelines for a U.S. healthcare client, ensuring HIPAA/HITRUST compliance while ingesting and transforming clinical data with tools like S3, Glue, Redshift, and Airflow.
Lead a team to build data pipelines, warehouses, and analytics platforms in Snowflake/AWS using Python and Airflow, enabling workforce analytics and predictive models for a global job platform.
Builds cloud-native Python backends with FastAPI and PostgreSQL, integrates systems via REST APIs/webhooks, and develops React/TypeScript frontends on AWS.
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