Hi, I’m Aditya Singh—a Senior Data Engineer with 7+ years of experience building, optimizing, and scaling large-scale data platforms across BFSI and credit analytics. Currently, I work as a Senior Data Engineer at American Express, where I own end-to-end data pipelines processing massive production workloads (up to 9+ TB/day) using Apache Spark, GCP (BigQuery, Dataproc, GCS), and Airflow. Previously, I served as a Subject Matter Expert at TransUnion CIBIL, designing robust ELT frameworks and driving commercial credit-score automation. Throughout my career, I've specialized in:Performance Tuning & Optimization: Restructuring heavy Spark workloads to drastically cut down execution times (e.g., reducing 13-hour jobs down to 2 hours). Framework Architecture: Building reusable, configuration-driven SQL data frameworks from scratch to eliminate repetitive coding. Mentorship & Code Reviews: Guiding engineers on best practices, debugging complex pipeline issues, and navigating data engineering career paths. Whether you're preparing for technical data engineering interviews, looking for an in-depth resume review, or trying to solve complex big data and Spark architectural problems, I'm here to help you level up. Let's connect!