Aakash Nand is a Senior Data Engineer with nine years of experience designing and operating production-grade data platforms and ML pipelines across cloud and on-prem ecosystems. Based in Tokyo and currently at Kraken, he has led large-scale migrations (13TB to Snowflake), built real-time ingestion pipelines processing millions of records per second, and deployed anomaly detection and alerting systems using serverless and CI/CD best practices. Comfortable across Python, Spark/Databricks, dbt, Trino, Kubernetes, and AWS/GCP, he pairs deep systems knowledge with hands-on model deployment and MLOps experience. He actively contributes to open-source projects like Trino, Apache Ranger, Superset, and Airflow, and is augmenting his practical skills with graduate AI coursework at UT Austin. Notably, he has extended Trino with custom connectors and built multilingual tooling to improve collaboration between Japanese and non-Japanese engineers, demonstrating both technical depth and cross-cultural impact.
9 years of coding experience
2 years of employment as a software developer
Master of Artificial Intelligence, Artificial Intelligence, Master of Artificial Intelligence, Artificial Intelligence at The University of Texas at Austin
B.Tech computer engineering, Engineering and Technology, 8.4/10, B.Tech computer engineering, Engineering and Technology, 8.4/10 at Vishwakarma Institute Of Technology
Tutorial on how to setup Trino and Apache Ranger using docker
Contributions:2 releases, 8 commits, 2 PRs in 8 months
apache-rangerdockertrinorangerdataengineering
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.