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Build and maintain data pipelines and Power BI reports using Microsoft Fabric and Azure services to deliver analytics and reporting solutions.
Builds scalable data pipelines and Power BI dashboards using Microsoft Fabric to deliver analytics and insights for clients.
Lead a small team to design and maintain scalable data pipelines and warehouses using Azure Databricks, dbt, and Kimball dimensional modelling to support analytics and AI initiatives.
Design and maintain Azure-based data pipelines and lakehouse solutions using Synapse, Data Factory, and Informatica to power analytics and reporting for a government client.
Senior Data Engineer builds and optimizes large-scale data pipelines on GCP, focusing on BigQuery, Dataflow, and real-time processing to support analytics and reporting.
Senior Data Engineer builds and maintains Azure Synapse pipelines with PySpark and Python, enforces Medallion Architecture, and troubleshoots data quality in undocumented extracts for a NSW government department.
Design and build scalable data pipelines using Microsoft Fabric, Python, and Azure Synapse for analytics and reporting across finance, government, and other sectors.
Builds scalable data pipelines and models to power analytics and automation for a clean-energy procurement platform, integrating APIs and improving data quality.
Design and maintain secure data pipelines and a Medallion architecture on Delta Lake to deliver analytics and insights for a healthcare nonprofit.
Build and maintain cloud-based data pipelines and analytics solutions using Azure, Databricks, and SQL to modernize enterprise data platforms.
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using SQL, Spark, and cloud tools to power business decisions and product improvements.
Lead a team to design and build Microsoft BI solutions (ETL, SSAS Tabular, Power BI) for banking domains, optimizing SQL Server performance and mentoring engineers.
Build and optimize scalable data pipelines for AI models in Shopee’s e-commerce platform, focusing on multimodal data processing, closed-loop evaluation, and foundation model improvements.
Design and build scalable data infrastructure for a media company, including data lakes, customer platforms, and AI-powered analytics to drive audience and business decisions.
Lead a small team to design, build, and scale data pipelines and platforms using Python, SQL, and cloud tools, ensuring reliable data for analytics and ML products.
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Design and build scalable data infrastructure, pipelines, and AI-powered analytics for a media company, enabling data-driven decisions across subscriptions, advertising, and editorial.
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Lead the design and scaling of data infrastructure for a media business, including data lakes, CDPs, and AI-powered analytics products that support editorial, subscriptions, and advertising teams.
Build and maintain cloud-native data pipelines and dimensional models in Snowflake for a modernized enterprise data warehouse on AWS, focusing on ingestion, ELT, and production-ready analytics.
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