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Design, develop, and optimize scalable ETL/ELT data pipelines using Python, PySpark, and SQL for a Singapore-based consulting firm serving banking clients.
Data engineer designing and deploying data warehouses, data lakes, and real-time pipelines using SQL, Python, SSIS, and cloud platforms (AWS/GCP/Azure), building ETL/ELT processes and backend APIs for analytics applications.
Data Engineer designing, developing, and optimizing scalable ETL pipelines and data warehouses using Python, PySpark, SQL, and cloud data platforms for large-scale datasets in Singapore.
Data Engineer designing and optimizing big data pipelines with Spark, Scala, and Elasticsearch on OpenShift within a regulated consulting environment.
Data Engineer building ETL/ELT pipelines, data warehouses, data lakes, and backend APIs for a consulting firm serving banking and financial services clients.
A Data Engineer designing, developing, and optimizing big data solutions using Apache Spark, Scala, Elasticsearch, and OpenShift Container Platform (OCP), collaborating with cross-functional teams to build scalable data processing pipelines and search applications.
Lead Solution Architect for a Databricks practice, owning end-to-end data platform architecture, leading presales with C-level stakeholders, and driving large-scale cloud migration programs across APAC using Databricks, Spark, and Delta Lake on Azure/AWS/GCP.
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