Jasmine C.
Senior Data Engineer
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Jasmine C. is a seasoned Data Engineer with over seven years of experience, focusing on creating robust ELT and Big Data solutions. She excels in using the Databricks platform and designing pipelines in complex, multi-source enterprise environments. Jasmine has extensive expertise in Medallion Architecture and Delta Lake transformations, which enable her to deliver audit-ready Gold-layer datasets that fuel executive-level Power BI dashboards. Her proficiency spans Azure-native cloud systems and distributed data platforms, leveraging tools such as Azure Data Factory, ADLS, Azure SQL Database, and Databricks, alongside supporting AWS exposure. At American Express as an Engineer III, she leads the transformation of ETL to cloud-native architectures, ensuring high availability and regulatory compliance for cross-border transactions. Previously, at Chewy, she architected high-volume, event-driven data pipelines supporting end-to-end e-commerce lifecycles. Jasmine's technical acumen and collaborative mindset drive her success in creating innovative solutions across industry-leading organizations.
Experience
Engineer III - Senior Data Engineer
American Express · 2024 — PresentLead the transition from legacy ETL pipelines to a cloud-native ELT architecture on Databricks, supporting a high volume of transactions. Designed a Fast-Forward operating model for the AR domain, ensuring compliance and scalability in backend services. Architected a Medallion Architecture in Databricks, standardizing the ingestion and transformation across the billing domain. Created dimensional Star Schema models for transactional billing activity and utilized Delta Lake MERGE operations for historical accuracy. Deployed Azure Data Factory pipelines for multi-source ingestion across various data storage systems. Integrated ADF with Azure DevOps for automated CI/CD promotion in different environments. Enabled incremental loading with watermark processes across large datasets to optimize performance. Developed complex SQL transformations for AR data aggregation and collaborated with BI teams on dataset design tailored for Power BI.Data Engineer - Data
Chewy · 2022 — 2023Engineered event-driven data pipelines across the e-commerce platform, supporting high-volume transactional flows. Designed and deployed services in Scala on AWS EKS for data ingestion and processing. Implemented asynchronous Kafka-based ingestion to enhance system resiliency and data availability. Established Snowflake as the OLAP platform for streaming transactional events to facilitate reporting and analytics. Created CI/CD frameworks with GitHub Actions and orchestrated data workflows via Airflow. Collaborated with cross-functional teams to align data pipelines with business workflows and ensure data accuracy.Software Engineer
Marvell Technology Associates · 2019 — 2021Operated within the test and validation ecosystem to enable reliable data flow for SSD hardware testing. Developed an automated ETL pipeline using Python to transform and persist telemetry data from SSD testbeds. Created log ingestion and processing services for high-volume firmware logs across distributed devices. Designed multi-threaded stream processing workflows with Java and Apache Flink to enhance ETL throughput. Developed database schemas in PostgreSQL for managing time-series test results and metadata. Automated validation workflows to improve operational reliability. Collaborated with firmware and QA engineers to streamline data analysis and issue resolution processes.
Skills & Expertise
Education
- Master of Science in Information SystemsNortheastern University