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Designs and maintains scalable data pipelines and warehouses using SQL, Spark, and ETL tools to power analytics and reporting for business insights.
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.
Designs and maintains ETL workflows with Informatica PowerCenter and Python, builds Spark/Hive pipelines on HDFS, and optimizes SQL for Oracle/Teradata to support banking data platforms.
Build and migrate data pipelines using SQL, dbt Core, and Snowflake for a cloud migration program supporting a large enterprise analytics platform.
Designs and maintains scalable data pipelines and warehouses for a global game publisher, ensuring clean, reliable datasets for analytics and product decisions.
Build and optimize AWS-based data pipelines and Redshift warehouses for a government project, using Python, SQL, and DevOps practices to ensure secure, scalable data infrastructure.
Designs and optimizes ETL/ELT pipelines and data warehouses using Teradata, Hadoop, Spark, and Informatica for enterprise-scale data processing.
Designs and builds data pipelines, warehouses, and reporting systems using Python, PySpark, Hive, and cloud platforms to support analytics and visualization tools like Tableau.
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, consolidating datasets and preparing data for AI-powered tools like LLMs.
Design and maintain data pipelines and warehouses to power analytics and AI for Singapore’s public sector, using cloud platforms and distributed systems.
Designs and builds scalable data pipelines and storage solutions to collect, process, and secure data for analytics and reporting.
Builds and maintains ETL pipelines, data warehouses, and analytics for mobile/IoT/app data using Python, SQL, and big-data tools to deliver insights for overseas operations.
Design and build scalable data infrastructure, pipelines, and AI-powered analytics for a media company, enabling data-driven decisions across subscriptions, advertising, and editorial.
Build and optimize Shopee’s e-commerce data warehouse and real-time pipelines using Spark, Flink, Kafka, and SQL to power BI, data products, and ML algorithms.
Build and own a new HR data warehouse, then transition into analytics to help HR teams make data-driven workforce decisions using SQL, Python, and cloud pipelines.
Build and maintain data pipelines to extract, transform, and load semiconductor and IoT data into warehouses and lakes for analysts and scientists.
Build and maintain scalable data pipelines and BI dashboards for a fintech company, using big data tech like Spark and cloud platforms such as GCP.
Design and build enterprise data architecture, pipelines, and governance for public-sector clients using SQL, ETL tools, and cloud platforms like AWS/Azure.
Build and maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
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