Sulochana Karki

Data Engineer @Mastercard

NY, US

Key ContributionsDesigned and deployed scalable ETL pipelines with Azure Data Factory & PySpark, processing 60+ global payment data sources.Built reusable data models and schemas in Azure Synapse to power risk profiling, segmentation, and fraud analysis.Developed real-time streaming pipelines using Azure Event Hubs & Spark Structured Streaming for fraud detection.Engineered robust data validation frameworks with Great Expectations & Python to ensure data quality and anomaly detection.Orchestrated 200+ DAGs in Apache Airflow for transformation, metadata ingestion, and SLA monitoring.Implemented enterprise-grade security with Azure RBAC, encryption, and tokenization for PCI & GDPR compliance.Optimized Spark & SQL workloads, cutting pipeline execution times by 40% with partitioning, bucketing, and pushdown techniques.Modernized data infrastructure, migrating legacy Hadoop ingestion to Azure Data Lake Gen2 & Delta Lake.Integrated Azure Purview to enable end-to-end data lineage, cataloging, and governance.Delivered curated data marts and dimensional models to serve 300+ BI analysts, data scientists, and stakeholders.Automated CI/CD deployments via Azure DevOps pipelines for versioned, production-ready data workflows.Developed secure REST APIs in Python to expose fraud insights and transaction summaries to downstream apps.Enabled ML model readiness by delivering feature tables for fraud scoring & behavioral prediction models.Conducted EDA & anomaly detection on transactional datasets using PySpark & Power BI.Partnered with cross-functional teams (Risk, Payments, Compliance) to ensure alignment with KPIs & regulatory standards.

York College of the City University of New York

Bachelor of Science