Aayushi Gaur

Built and maintained Python-based scripts to automate log analysis and data processing workflows, improving troubleshooting efficiency. • Developed SQL queries to extract and analyze operational datasets, enabling faster issue resolution and system monitoring. • Processed and analyzed large log datasets using data processing techniques to identify system anomalies and performance patterns. • Collaborated with engineering teams to investigate data-related issues in cloud environments, ensuring data integrity and reliability. • Worked with Linux-based environments to analyze application logs and system metrics, improving root cause analysis for platform issues. • Automated repetitive tasks using Python scripts, reducing manual analysis effort and improving operational efficiency.

• GPA: 3.5/4.0 • Completed an industry-focused program with hands-on projects in Data Engineering & Analytics. • Designed and implemented ETL pipelines using PySpark, Hive, and AWS for analytical • Introduction to orchestrated batch workflows using Apache Airflow with dependency handling, retries, and monitoring. • Applied data governance, data modeling, and security best practices to ensure integrity and compliance. • Familiarity with ClickHouse – Column-oriented database fundamentals (Exploratory / POC level)