- Lead end-to-end ETL and data engineering development using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon Aurora.
- Design, implement, and optimize AWS data architectures to support scalable and reliable data processing.
- Own technical architecture and lead design discussions, solution reviews, and architecture decisions with clients and internal stakeholders.
- Drive AWS DevOps activities, including Amazon EKS, Terraform, CI/CD pipelines, infrastructure automation, and application deployments.
- Write, optimize, and troubleshoot complex SQL queries for data transformation and performance improvement.
- Design and develop Agentic AI solutions using LangGraph and LangChain.
- Integrate foundation models into production applications using Amazon Bedrock.
- Lead technical discussions, requirement analysis, solution design, and technical decision-making.
- Mentor developers, conduct technical reviews, and promote engineering best practices.
- Contribute to cloud-native, microservices-based solutions and distributed application architectures.
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