Khairun Nadzirah Binti Abdul Karim

PROJECT: DATA ENGINEERING - Developed cloud-based ETL pipelines using AWS Glue and PySpark, joined and transformed data from multiple tables stored in Amazon S3, and migrated it to production. Queried and analyzed structured data in Lake Formation and S3 using AWS Athena to support reporting and analytics. Automated job orchestration and pipeline scheduling using AWS Step Functions and EventBridge, with Amazon SNS for real-time alerts and error handling on job status. Utilized AWS SageMaker to develop and run logistic regression models in Python for sales forecasting and predictive analytics. Built robust error handling into Python scripts to pinpoint failure points in ETL workflows. PROJECT: WEB APPLICATION DEVELOPMENT (LLM-OPENAI) - Developed a web application to automatically generate comments for raw code; backend using Flask (Python), frontend using JavaScript, HTML, and CSS; Integrated OpenAI API for NLP, and fine-tuned prompts. Designed UI/UX workflows in Figma and Miro; conduct

Pivot project - PETRONAS' Integrated Vision for Operational Excellence Transformation. Maintain and update KPI for each entity (plant) in PostgreSQL. Design and implement database functions using SQL and PL/pgSQL to manipulate data and perform calculations. Collaborate with Data Analysts, ETL, QA and Developer teams to ensure correct and efficient implementations. Strong ability to integrate data from various sources, develop data migration strategies, and ensure seamless data flow and consistency. Proactively diagnose and resolve database-related issues.

In charge of the Smart Topo project (webmap application with district, local authority, and POI layers) in Selangor. Conducted User Acceptance Testing (UAT) and Functional Acceptance Testing (FAT) with vendors. Assisted PDT Digitalization for flood initiative preparation in Selangor. Involved in UAT/FAT for smart river monitoring. Proficient in Python for web scraping (BeautifulSoup, Selenium, Scrapy) and Tableau for dashboards. Managed Amazon S3 buckets within AWS.