I’m a Cloud Specialist and AWS Community Builder with about 7 years of experience architecting secure, automated, and scalable cloud solutions across AWS and Azure. My expertise lies in serverless computing, real-time analytics, data engineering, and generative AI applications—all built using cloud-native services like AWS Glue, Lambda, Step Functions, Timestream, Athena, and Amazon Bedrock.

I’ve successfully delivered cloud platforms for sectors like healthcare, logistics, insurance, and public services, focusing on event-driven design, infrastructure as code (Terraform, CloudFormation), and cost optimization at scale. My data engineering work includes building streaming and batch ETL pipelines using AWS Glue (PySpark ), catalog-driven architectures, Apache Iceberg, and Athena-based query layers for powerful insights.

But what truly drives me is giving back to the community:

🧠 I host free hands-on AWS sessions and live walkthroughs focused on real-world projects—like AI-driven chatbots, serverless data lakes, and event-based automation.

🌐 I run awslearner.hashnode.dev, a free resource hub where I share deep-dive tutorials, project blueprints, and advanced AWS guides.

💡 I created an AI-powered AWS Project Idea Generator to help learners discover real-world project ideas aligned with current services and trends.

🎓 I’ve mentored dozens of cloud enthusiasts on breaking into cloud careers, building impactful portfolios, and cracking AWS certifications.

🎤 As a speaker, I focus on delivering practical, demo-driven talks that simplify complex topics—be it streaming ETL with Glue, Bedrock-based GenAI applications, or serverless-first architectures.

I'm passionate about turning abstract cloud concepts into usable, scalable solutions—while empowering the next wave of cloud engineers through free education, community events, and open collaboration.

I'm open to speaking opportunities, technical collaborations, mentorship programs, podcasts, and panel discussions—especially those focused on data engineering, GenAI, and hands-on learning at scale.