Raja Dey

WORK HISTORY

EDUCATION

SKILLS

ABOUT RAJA DEY

I design and build data platforms that turn complex, large-scale data into reliable systems powering real business decisions.Over the years, I’ve worked across both cloud-native and distributed ecosystems, developing end-to-end data solutions that handle TB-scale workloads with a strong focus on performance, reliability, and scalability. My work sits at the intersection of engineering, architecture, and delivery — where data systems are not just built, but owned and evolved.I’ve led the development of data pipelines and platforms using PySpark, SQL, and the AWS ecosystem — including Glue, EMR, S3, Redshift, Athena, Lambda, Step Functions, and EventBridge — while also leveraging Hadoop and Hive for large-scale data processing. I use Terraform to define and scale infrastructure, ensuring consistency and repeatability across environments.Beyond building systems, I focus on outcomes: • Improving pipeline performance and reducing processing time significantly at scale • Ensuring production reliability with strong monitoring, failure handling, and SLA adherence • Automating workflows to eliminate manual dependencies and accelerate delivery • Optimizing data models and queries to support faster, more efficient analytics As a Lead Data Engineer, I take end-to-end ownership — from architecture and design to production stability and stakeholder alignment. I work closely with clients and cross-functional teams to translate business problems into scalable data solutions, while also driving best practices across engineering teams.I believe great data platforms are defined not just by the technologies used, but by how well they scale, adapt, and deliver impact over time.If you\'re working on complex data challenges or building data platforms at scale, let\'s connect.