Singapore, Singapore
Data Engineer with 9+ years of experience working across ETL development, data warehousing, data visualization, and SQL Server administration, primarily in enterprise and government agency environments. My core expertise lies in building and supporting reliable, well-governed data pipelines using SQL Server, Microsoft SSIS, Azure Data Factory, Python, and Qlik Sense. I have hands-on experience managing the full data lifecycle — from data ingestion and transformation to reporting and production support. I have worked on secure and compliance-driven data platforms, where data quality, stability, and operational reliability are critical. I am comfortable maintaining and enhancing existing pipelines, automating manual processes, and supporting analytics platforms used by business users. I enjoy collaborating with cross-functional teams and continuously improving data solutions to make them more efficient, maintainable, and scalable. Key skills: ETL, Data Warehousing, SQL Server, SSIS, Azure Data Factory, Python, Qlik Sense, Power BI, Data Visualization
Design, enhance, and support end-to-end ETL pipelines for government agency reporting and analytics platforms Develop automated data processing workflows using Python, SQL, SSIS, and Azure Data Factory Administer Azure-based data platforms, including data integration, APIs, and reporting layers Manage Qlik Sense administration, including user access, security rules, and application support Work closely with internal teams and stakeholders to implement enhancements and production fixes Maintain technical documentation and support operational handover and audits