Darshan M

Associate Solutions Architect @ Amazon Web Services (AWS)

About

I design cloud and data platforms where scale, cost, security, and reliability compete. I’ve been working in cloud and data engineering since 2012, evolving from hands-on big data engineering into solution architecture roles focused on designing production-grade systems on AWS. My experience spans: • Large-scale data platforms (EMR, Spark, Glue, Athena) • Cloud architecture design for analytics and AI/ML workloads • Cost optimization, performance tuning, and disaster-recovery design • Building systems that balance business needs with engineering reality Over the years, I’ve helped teams move from fragile pipelines to resilient, automated, and observable cloud platforms that support data-driven decisions at enterprise scale. I’m particularly interested in the intersection of: • Data engineering • Cloud architecture • AI / ML enablement on AWS Certifications include AWS Solutions Architect (Associate), Data Engineering, and Machine Learning, with Solutions Architect Professional nearing completion. I enjoy roles where architectural thinking matters, trade-offs are discussed openly, and systems are built to last — not just to launch.

Country

United States

City

Herndon

Industry

Information Technology & Services

Skill

Machine Learning, Artificial Intelligence (AI), Solution Architecture, Big Data, Big Data Analytics, Hadoop, Apache Spark, Cloud Infrastructure, Cloud Services, Amazon Web Services (AWS), Cloud Computing

Experience

Associate Solutions Architect

Amazon Web Services (AWS)

2024-8 - Present · 2 yrs 2 mos

United States

Worked with customers to design and review cloud and data architectures supporting analytics, big data, and emerging AI/ML workloads on AWS. Led architectural discussions around: • Scalable data processing using EMR and Spark • Serverless and managed data pipelines using Glue and Athena • Cost optimization, reliability, and security trade-offs • Disaster recovery and multi-environment design Helped teams move from ad-hoc data pipelines to well-architected, observable, and cost-efficient platforms aligned with AWS best practices.

Cloud Engineer

Amazon Web Services (AWS)

2021-11 - 2024-8 · 2 yrs 10 mos

Designed, built, and supported large-scale data engineering solutions on AWS, working with Hadoop and Spark-based workloads for analytics and reporting. Key responsibilities included: • Developing and maintaining data pipelines using EMR, Spark, and Hadoop • Supporting batch and large-scale data processing workloads • Optimizing EMR clusters for performance, stability, and cost • Troubleshooting data pipeline failures and production issues • Working with S3, IAM, and networking components to ensure secure data access Contributed to improving reliability and efficiency of big data platforms used for enterprise analytics and decision-making.