Data Engineer
GlossGenius
Apr 2023 - Jan 2026 (2 years 10 months)
Designed and built scalable, resilient data workflows to support enterprise-wide analytics and machine learning. Led the architecture and implementation of MLOps pipelines, enabling automated model deployment, monitoring, and retraining. Developed end-to-end CDC ingestion pipelines using Kafka, Debezium, and Apache Iceberg, supporting near real-time analytics and compliance-grade data lineage. Leveraged a modern data stack (Snowflake, dbt, Fivetran, Segment, Kubernetes, Argo, AWS, Lambda, Kafka, Astronomer, Stitch, Stripe, Datadog, Looker, DataHub, Airflow) to enhance data availability and reliability. Integrated data governance, security, and quality assurance best practices across all layers of the data architecture. Partnered with cross-