Machine Learning/Data Infrastructure

Worked on various technologies with most experienced people in the industry. HiveServer2, Hive Metastore, CDP on AWS, Azure with Kubernetes. Ranger and Spark authorization, UDF, understand Tez and Spark internals. Languages: Java, Golang

Contributed to open source Hive at work in Cloudera

Full stack engineering with MS stack, focusing on middle to back-end. Asp.net Core, C#, Azure Data Warehouse, SQL IaaS (on a VM), Azure SQL, Elasticsearch, Cosmos (HDFS) and Scope (think Apache Hive). Dabbled with Angular and React.js. Familiar with most Azure cloud technologies, virtual network, Azure Data Lake, App Services, Key Vault, AAD, Data Factory.

I work in the query engine of Cisco's data virtualization unit. The product enables users query heterogeneous data sources, relational or unstructured with uniform SQL query or SQL Scripts (procedures).Noteable features design and implemented:Parallel fetch of statistics Feedback based query planningCIS Explain PlanQuery runtime execution stats logging

Design and implement software features for Teradata Database Management System Query Optimizer. Teradata DBMS dominates data warehousing industry with its parallel processing database management system. Teradata has 90% win rate when competing on projects against IBM, Oracle, and HP. I am working in the "brain" of this system, and proud to be part of it.I helped develop numerous features.statistics cache, plan directive, derived statistics, incremental planning and execution. Also I was the benchmark center contact person in charge of troubleshooting POC incidents, indirectly helping win customers. Certified Teradata Master V2R5.

NCR spun off Teradata on Oct.1, 2007. I worked on Plan Directive, and Optimizer Cost Estimation Subsystem before the spin off.