Data Engineer Intern at LifeByte System

Used SQL to extract, clean, aggregate, join, and validate business data to support daily reporting and analytics. Participated in end-to-end data processing workflows including extraction, transformation, quality checks, and analytical output delivery. Assisted with data quality issue resolution such as missing values, duplicate records, abnormal entries, and inconsistent formats. Supported AWS Lambda and Step Functions-based automated data workflows by reviewing triggers, execution sequences, dependencies, and error-handling logic, along with CI/CD process involvement. Contributed to data governance by supporting data documentation, aligning business metrics, defining field validation rules, and performing data quality reviews. Gained hands-on exposure to data analysis, data engineering, and governance practices across reporting, data-flow tracking, and pipeline automation.