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Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, AWS Glue, EMR, and Redshift for large-scale analytics.
Lead a team to build and optimize AWS-based data platforms using PySpark, Glue, EMR, and Redshift for large-scale ETL/ELT pipelines and data warehousing.
Lead a team to build and optimize AWS-based data pipelines and warehouses using PySpark, Glue, EMR, and Redshift for a UAE customer.
Build and maintain ETL pipelines and data storage systems in AWS to power a B2B e-commerce platform serving Pakistani SMEs.
Design and build secure, scalable data pipelines and infrastructure for ADAPT, a real-time energy-sector platform, using Azure services to enable live analytics and automation across maintenance and supply-chain operations.
Build and maintain scalable data pipelines for AI systems, including ETL/ELT, data quality checks, and warehouse/lake architectures using Python, SQL, and cloud tools.
Build and maintain scalable data pipelines and infrastructure for analytics and AI/ML in healthcare, ensuring data quality and compliance while collaborating with cross-functional teams.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery logistics platform.
Designs and maintains scalable data platforms and ETL/ELT pipelines for enterprise data warehouses using Spark, Kafka, and cloud services like BigQuery.
Build and maintain scalable data pipelines and infrastructure to power analytics and AI-driven decisions for a fast-growing delivery optimization platform.
Design and maintain scalable ETL/ELT pipelines and data platforms using cloud tools, SQL, Python/Scala/Java, and big data tech like Spark and Kafka.
Build and maintain ETL pipelines and data warehouses to feed BI tools like Power BI, ensuring clean, structured datasets for analytics and price-prediction AI in a SaaS travel-tech stack.
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.
Builds and maintains scalable data pipelines and ClickHouse analytics for a logistics and fintech platform, ensuring reliable data flow and high-performance queries.
Build and own data pipelines and reporting systems using SQL and Google BigQuery to power commerce and supply chain decisions for a growing startup.
Designs and maintains scalable data pipelines and infrastructure to power analytics, reporting, and ML at a Lahore-based company.
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 data pipelines, clean and transform raw data, and create dashboards to help teams make data-driven decisions using SQL, Python/R, and tools like Databricks and Tableau.
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.
Builds and maintains dbt models and ELT pipelines using SQL and cloud data platforms like Snowflake or Databricks.
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