Mohammad sallauddin

I've built end-to-end data engineering and analytics projects using Databricks, PySpark, Delta Lake, Python, and SQL.

In TravelPulse Lakehouse, I developed a Databricks ETL pipeline using Medallion Architecture to process travel booking and customer data. I implemented data quality validation, quarantine handling, incremental ingestion, SCD Type 2 customer dimensions, and a booking fact table for historical analytics.

I also built FraudGraph Analytics, a financial transaction fraud detection platform that uses feature engineering, graph analytics, and machine learning to identify suspicious behaviour. Using Pandas, SQL, Isolation Forest, and NetworkX, I analyzed structuring, layering, velocity anomalies, and unusual account activity.

During my Infosys Springboard internship, I collaborated on College Event Hub, implementing role-based authentication and workflows for event creation, registration management, and feedback using the MERN stack. I'm passionate about building scalable data solutions that support analytics and intelligent decision-making.