Data Engineer

• Explore, analyze, and onboard data sets from data producers to ensure they are ready for processing and consumption.
• Develop and maintain scalable and efficient data pipelines for data collection, processing (quality checks, de-duplication, etc.), and integration into Data lake and Data warehouse systems.
• Optimize and monitor data pipeline performance to ensure minimal downtime.
• Implement data quality control mechanisms to maintain data set integrity.
• Collaborate with stakeholders for seamless data flow and address issues or needs for improvement.
• Manage the deployment and automation of pipelines and infrastructure using Terraform, Flyte, and Kubernetes.
• Support strategic data analysis and operational tasks as needed.
• Lead end-to-end data pipeline development — from initial data discovery and ingestion to transformation, modeling, and delivery into production-grade data platforms.
• Integrate and manage data from 3+ distinct sources, designing efficient, reusable frameworks for multi-source data processing and harmonization.

Senior Data Engineer

Data Architect

Data Architect

Senior Data Engineer, MLOps

Data Engineer – Financial Transactions, Automation

AWS Data Engineer