Singapore, Singapore
Skilled and possessing an understanding of data architecture, ETL processes, and data modeling, I am dedicated to optimizing data pipelines and ensuring the availability, accuracy, and reliability of data for informed decision-making.
Data Engineer specializing in data pipelines, semantic modeling, and BI platform management, contributing to the organization’s transition from Tableau to Microsoft Power BI. Contributed to the organization-wide transition from Tableau to Power BI, driving the implementation of data pipelines, semantic models, and reporting workflows. Developed and orchestrated data pipelines in Azure Databricks using SQL, Spark, and Python, enabling reliable data delivery into Power BI via catalog mirroring. Designed and built Power BI semantic models, standardizing business logic and supporting scalable, enterprise-level reporting. Led end-to-end UAT execution, partnering with stakeholders to align on business logic, resolve defects, and ensure high-quality production releases. Delivered the Agency KPI Scorecard, from initial development in Tableau to migration and enhancement in Power BI, supporting business performance tracking and decision-making. Acted as Power BI Admin, managing platform governance, access control, workspace setup, and overall system health. Managed and supported the Tableau platform, troubleshooting complex workbook and data source issues and ensuring stability of business-critical reporting.
Building and maintaining data pipelines with ETL processes, performing API testing, designing data warehouse solutions. Successfully optimized data pipelines, reducing processing time by up to 50%, by reducing inefficiencies in the data pipelines and using caching mechanisms. Completed a data migration project which involved sourcing and switching data providers, constructing database, and transferring and transforming data from legacy systems to a new database (Postgres). This project resulted in more than 50% of savings compared to the legacy system. Conducted a data integration project which involved setting up data pipeline using data integration platform (Hevo) to load data from Postgres to Google Bigquery. Designed and constructed pipeline from scratch to load hourly stock price data to Google Bigquery, which involved sourcing of API, extracting and transforming data, and loading it by batches into Google Bigquery in the right format for the quant team. This pipeline is orchestrated using Google Cloud Task and Google Cloud Scheduler. Set up CI/CD for data pipeline using CircleCI. Collaborated with software developers team to identify and resolve data-related bugs and issues, as well as conduct documentation to improve quality in the production process. Cross-collaborated with content and design team to set up AI prompts to generate contents and images for Goodwhale app's lesson modules (Quest) feature. Volunteered for marketing efforts in the company which includes roadshow and busking events.
Analyse data from chemical tests Conducting chemical tests on contact lens and related products Oversee day to day operations in laboratory
Conducting case study analysis of businesses according to their business models, management and financial reports Conducting training to participants on how to analyse the financials of a company based on their financial reports Presenting case studies of companies to participants