
SaaS • Enterprise • Artificial Intelligence
e6data is a hybrid, AI-native lakehouse compute engine that provides high-performance query, ETL, and real-time ingest for modern data platforms. The platform runs on cloud, on-prem, and hybrid environments and supports table formats like Iceberg, Delta, Hudi, and Hive without requiring migration from Snowflake, Databricks, BigQuery, or Fabric. Using a granular, decentralized “Atomic Architecture,” e6data delivers sub-second latency, high concurrency (thousands QPS), vector search for unstructured data, and claims up to 10x faster queries and ~60% lower compute costs for enterprise data teams while offering enterprise-grade security and governance.
June 26
Solution Engineer providing technical guidance and mentorship in data engineering at e6data. Troubling technical issues and collaborating with customers on their data architecture requirements.
Apache
Spark
SQL
March 9
Solution Engineer at e6data providing technical guidance and resolving data analytics issues remotely. Leading and mentoring a growing engineering team while collaborating with customers' technical needs.
Apache
Spark
SQL
December 30, 2024
Software Engineer focusing on e6data compute engine's core functionalities and performance. Involvement in feature design, architecture, and maintainable code development with strong emphasis on coding standards.
Java