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Build and maintain scalable ETL pipelines and data flows using Python, PySpark, and SQL to support real-time and offline analytics for a large-scale brewery.
Design and build automated data pipelines for risk and regulatory reporting in banking, using SQL/Python to aggregate massive finance datasets and ensure compliance with standards like BCBS 239.
Build and maintain cloud-based data pipelines using Microsoft Fabric, Azure, Python, and SQL to support analytics and reporting for a modern data platform.
Lead a team to design and operate enterprise-scale data pipelines, integrations, and governance for ABB’s Digital Engineering CoE, enabling trusted data for Digital Twins, knowledge graphs, and sustainability platforms.
Lead enterprise data architecture and governance for a manufacturing-focused company, defining data models, MDM strategy, and integration patterns across SAP, Salesforce, and MES systems.
Build and maintain Databricks-based data pipelines and AI-ready data products, integrating structured and unstructured data for analytics, reporting, and AI use cases.
Designs and maintains secure data-integration pipelines using Informatica PowerCenter/IICS, applies data-masking to protect sensitive data, and collaborates on ETL/ELT workflows in enterprise environments.
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to enable analytics and AI workloads for enterprise systems.
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Build and maintain scalable data pipelines on Databricks using Python, Spark, and Delta Lake to ingest, transform, and serve data for analytics and AI workloads.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform operational data into a governed Lakehouse architecture for analytics and business services.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Builds and optimizes ETL/ELT pipelines in Databricks using Spark SQL and Python, designs star-schema models, and implements data quality and CI/CD frameworks to power analytics.
Lead data governance for AI and digital initiatives, setting rules and standards to ensure data quality, lineage, and trusted analytics using Informatica tools.
Design and build scalable data pipelines and warehouses using GCP, BigQuery, and Airflow to integrate ERP/CRM data for analytics and reporting.
Designs and builds scalable data pipelines and warehouses using GCP/BigQuery, SQL, and ETL tools to feed analytics and reporting for a fintech platform.
Designs and governs enterprise-scale data platforms, AI/ML ecosystems, and data governance frameworks for a banking client in Qatar.
Lead a hybrid role managing data engineering teams and client projects, designing Azure-based cloud data platforms and GenAI-ready data architectures for banking, insurance, and retail clients.
Data Analyst & QA Engineer builds and tests data pipelines, profiles datasets, and turns validated data into clear insights for life-sciences projects using Python, SQL, and Power BI.
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