Lead design and implementation of batch and real-time data pipelines on AWS

Architect and implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS-native services

Lead workflow orchestration using Apache Airflow (MWAA)

Architect serverless data processing solutions with AWS Lambda

Design enterprise-grade data warehousing solutions using Amazon Redshift

Develop and enforce data storage strategies using Amazon S3 and DynamoDB

Implement and govern data cataloging, governance, and access control using AWS DataZone

Establish monitoring, logging, and observability using Amazon CloudWatch

Drive performance optimization, scalability, and cost efficiency

Troubleshoot complex data processing and infrastructure issues

Collaborate with cross-functional teams including Analytics, BI, Data Science, and Business teams

Provide technical leadership, conduct code reviews, and mentor junior engineers

Ensure adherence to security, compliance, and data governance standards

Participate in architecture discussions and contribute to long-term data strategy