Nakul B.

Need a scalable data platform, high-performance ETL pipelines, or an AWS-based analytics solution that your business can rely on? I help companies design, build, and optimize modern data platforms that transform raw data into reliable, actionable insights.

I'm a Data Engineer at Amazon with over 4 years of experience delivering cloud-native data solutions across e-commerce, financial services, transportation, and sustainability. I specialize in Python, SQL, PySpark, AWS (Glue, Lambda, Step Functions, Redshift, Athena, EMR, S3), data modeling, and serverless architectures. I also build AI-powered data applications using Amazon Bedrock and Retrieval-Augmented Generation (RAG) to automate workflows and enable intelligent decision-making.

I focus on delivering solutions that create measurable business value—not just clean code. My experience includes migrating enterprise reporting platforms to AWS, building real-time data pipelines and alerting systems, designing dimensional data models, implementing data quality frameworks, and developing AI-driven analytics platforms. My projects have reduced pipeline runtimes by up to 70%, improved data reliability, and enabled organizations to make faster, data-driven decisions.

I can help you with:

Whether you're building a new data platform, modernizing legacy pipelines, implementing cloud-native architecture, or integrating AI into your data ecosystem, I deliver scalable, production-ready solutions with a strong focus on performance, reliability, and long-term maintainability.