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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.
Build and optimize Power BI dashboards, DAX models, and ETL pipelines for a tax/financial services automation platform using Azure SQL, Power Query, and Azure Data Services.
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.
Build and migrate data pipelines from Hadoop to a modern lakehouse using Spark 3 and Iceberg, ensuring reliable reporting and analytics for core business needs.
Design and build production pipelines to migrate a legacy Hadoop warehouse to a modern lakehouse using Spark, Iceberg, and Airflow for core analytics.
Build and migrate data pipelines from legacy Hadoop to a modern lakehouse using Spark, Iceberg, and Airflow to power core analytics and reporting.
Build and maintain healthcare data pipelines in AWS, ensuring data quality and security while enabling ML/AI-driven insights for patient care and operational efficiency.
Build and maintain healthcare data pipelines in AWS, create datasets for analytics, and support ML pipelines to improve patient care and streamline operations.
Build and optimize Power BI dashboards and data models for a tax/financial services automation platform using DAX, SQL, and Azure Data Services.
Designs and maintains data pipelines integrating Salesforce Data Cloud with AWS Redshift and S3, using SQL and Python.
Build and maintain end-to-end data pipelines using Spark and Airflow, containerize code with Docker/Kubernetes, and enforce data quality in a lakehouse architecture.
Design and optimize ETL pipelines and data workflows using SQL, Spark, and Python to power AI-driven lending decisions for Pakistan’s digital finance infrastructure.
Build and maintain Salesforce Data Cloud pipelines, integrate with AWS Redshift/S3, and develop ETL/ELT workflows using Python and SQL.
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them via MLOps, and maintains cloud-based data infrastructure for intelligent applications.
Designs and maintains data pipelines using Spark, Airflow, Kafka, and Iceberg tables, deploying via GitLab CI/CD on Kubernetes.
Design and maintain scalable data pipelines and cloud-based ETL/ELT workflows to integrate diverse data sources for analytics and AI use cases.
Senior DevOps Engineer at EY’s AI Hub in Pakistan; designs and operates cloud platforms, automates CI/CD pipelines, and secures applications using Azure.
Presents Incorta’s data platform and GenAI demos to prospects, builds ETL/ELT pipelines, and collaborates with sales to close deals.
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