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Design and maintain scalable ETL pipelines, data warehouses, and real-time streaming solutions using SQL, Python, and cloud platforms like AWS/Azure/GCP.
Design and maintain scalable data pipelines and infrastructure using Spark, Kafka, and cloud tools to process large datasets for enterprise clients.
Build and maintain scalable data pipelines and ETL/ELT processes using Python, SQL, and cloud platforms (AWS/Azure) to support analytics and AI-driven products.
Build and maintain scalable data pipelines and warehouses for analytics and ML, integrating multiple sources using Python, SQL, and cloud tools.
Designs and builds secure, scalable APIs (REST/SOAP) for data exchange, integrates systems with third-party services, and ensures compliance and performance using Azure and Python.
Senior Data Engineer builds and optimizes scalable data pipelines, warehouses, and ML-ready systems in Python and SQL, mentoring junior engineers while ensuring clean, accessible data for analytics and AI.
Senior Data Engineer builds and optimizes scalable data pipelines, warehouses, and ML-ready systems in Python and SQL, mentoring junior engineers and driving data-driven decisions.
Designs, builds, and maintains scalable data pipelines and warehouses for an insurer, optimizing SQL Server, Databricks, and Power BI workloads to serve analytics teams.
Designs and builds secure, scalable cloud data pipelines and platforms using Azure, Databricks, PySpark, and Kafka to power analytics and AI.
Build and maintain scalable data pipelines on Azure and AWS, integrating financial data sources with tools like Databricks, Glue, and Redshift to deliver clean, secure datasets for analytics and modeling.
Designs and manages enterprise-scale data architectures for a major defence shipbuilder, ensuring secure, reliable data flows aligned with naval shipbuilding programs and compliance requirements.
Designs and builds scalable Azure-based data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to power analytics and reporting for enterprise clients.
Builds and maintains internal business apps in C#, JavaScript, and VBscript, integrating with Microsoft/Oracle databases and following full SDLC.
Senior Data Engineer builds and maintains scalable data pipelines and platforms to process structured/unstructured data, enabling analytics and insights for mission-driven projects like fraud detection and healthcare research.
Builds and maintains ETL pipelines and data warehouses using Python, SQL, and CI/CD tools like GitLab/GitHub for a consulting firm.
Builds and validates SQL, SAS, and Python scripts to migrate banking data from legacy systems to new data marts, ensuring accuracy and alignment with business reporting needs.
Leads a team of data engineers to design and deliver analytics solutions using public healthcare data, ensuring insights drive strategic decisions for Singapore’s healthcare system.
Build and maintain scalable data pipelines and platforms for analytics and AI in healthcare and public-sector projects using Python, SQL, and cloud tools like AWS/Azure/GCP.
Designs and maintains scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Build and scale a modern data platform for a MAS-licensed fintech bridging fiat and digital payments, designing pipelines, warehouses, and analytics to support cross-border transactions and business growth.
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