Dhruv Panchal
Data Engineer @Apex Fintech Solutions
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WORK HISTORY
Data Engineer @Apex Fintech Solutions
Dallas-Fort Worth, TX, US
Designed and deployed fraud detection and AML transaction monitoring pipelines using BigQuery, dbt, Airflow, and Python, reducing false positives by ~40% and enhancing data management and operational efficiency. Leveraged data architecture principles to optimize data structures and ensure data quality.• Spearheaded the creation of risk attributes (transaction velocity, P2P transfers, login anomalies) for fraud detection, reducing fraud incidents by 15% through effective performance management and data driven insights• Designed and optimized data marts for fraud analysts, enhancing reporting efficiency by 30% while ensuring data integrity and supporting key metrics, contributing to product analytics.• Implemented data validation, monitoring, and governance frameworks (dbt tests, CI/CD with GitHub Actions, Datadog alert) to ensure continuous improvement and reliability, upholding high data quality standards and data security.• Partnered with risk, fraud policy, and product teams to deliver real-time fraud prevention dashboards in Looker, translating business data requirements into actionable insights and driving data-driven decision-making for product development.
EDUCATION
The University of Texas at Dallas
Master's degree, Business Analytics
University of Mumbai
Bachelor of Engineering (BE), Information Technology
ABOUT DHRUV PANCHAL
Meticulous Data professional with strong expertise in data engineering, cloud platforms, ETL, and databasetechnologies. Skilled in leveraging Oracle databases, Python, SQL, and cloud services for building scalable data solutions.Eager to bring deep knowledge of data systems, database optimization, and API-driven architecture to enhance businessinsights and drive data-driven decision-making.SKILLSDatabases & Cloud Platforms: Google Cloud Platform, DBT, Terraform, Oracle SQL, Excel (VBA, pivot tables, power pivots)ETL & Data Engineering: Airflow/Astronomer, DBT, HVR, AWS, EC2, DynamoDB, S3, and RedshiftProgramming & Analysis: Python, R, SAS, T-SQL, Spark, Hadoop, Machine Learning, Tableau
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