Data Engineer

• Design, develop, and optimize data pipelines and streaming solutions using AWS services (Kinesis, Lambda, Glue, S3, Redshift, etc.).
• Build and maintain real-time data ingestion frameworks leveraging Apache Kafka and Amazon Kinesis.
• Write clean, efficient, and reusable Python code for ETL processes and data transformations.
• Implement event-driven and serverless architectures using AWS Lambda.
• Collaborate with data scientists, analysts, and application teams to deliver robust data solutions.
• Monitor and troubleshoot data flow and performance issues in production environments.
• Ensure data quality, security, and compliance with enterprise standards.

AWS Data Engineer

Assistant VP, Data Engineering

Senior Data Engineer

Data Engineer

Director, Data Engineer