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Lead the design and delivery of scalable data pipelines using Azure Databricks, dbt, and Kimball modeling to build a modern enterprise data platform that powers analytics and AI initiatives.
Build and maintain data pipelines and models in Snowflake, integrating dealer systems, ecommerce, and marketing platforms to create analytics-ready datasets and support AI initiatives.
Builds and maintains Azure-based data pipelines, profiles undocumented datasets, and documents data quality issues for stakeholders using SQL, PySpark, and Power BI.
Build and maintain Azure-based ELT pipelines and data architecture for a fintech lending platform, working closely with analysts and data scientists to support credit decisioning and analytics.
Build and maintain Azure-based data pipelines, profile undocumented datasets, and deliver clean, documented data for reporting and analytics using PySpark, SQL, and Power BI.
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 optimize cloud data pipelines in Snowflake, orchestrate workflows with Airflow, and transform data using dbt to support enterprise analytics.
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 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.
Design and build scalable ETL/ELT pipelines and data warehouses using BigQuery, Redshift, Synapse, Spark, Kafka, and dbt to power analytics and BI for enterprise clients.
Build and maintain scalable data warehouse solutions and pipelines using SQL, Snowflake, and Python to support logistics data needs.
Build and migrate data pipelines for a large-scale lakehouse platform, moving legacy Hadoop workloads to Spark 3/Iceberg and optimizing complex SQL queries.
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.
Own and improve a Databricks-based data platform that powers BI and analytics, writing notebooks, modeling data layers, and mentoring teammates.
Build and scale data pipelines, warehouses, and analytics for a global fintech/crypto platform using Python, Spark, Kafka, and cloud tools.
Design and build Prospera AI’s data infrastructure from scratch, including Snowflake warehouse, ETL pipelines with dbt/Airflow, and ML feature stores to power analytics and AI model training.
Build and maintain Azure-based data pipelines and warehouses using T-SQL, Synapse, Data Factory, Databricks, and streaming services to deliver clean, reliable data for analytics and modeling.
Design and build scalable Azure and Databricks data pipelines and warehouses, using PySpark, SQL, and CI/CD to modernize enterprise analytics and reporting.
Design and reverse-engineer Oracle data models, migrate legacy systems to cloud, and implement data governance for enterprise clients.
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