Manish Pratap Singh Email & Phone Number

Sunnyvale, Ca, Us

Sunnyvale, Ca, Us

San Jose, California, United States

Tech Lead for a team of engineers focused on High Availability and Disaster Recovery of Databases (PostgreSQL/MySQL/MSSQL/Oracle) on the Nutanix Database Service platform.

San Jose, California, United States

I led the Open Source Databases team in ERA. My team developed and supported Postgres, MariaDB, MySQL over the Nutanix Platform.Learn more about ERA here: https://www.nutanix.com/products/era

San Jose

I led the Open Source Databases team in ERA. My team developed and supported MariaDB, MySQL and Postgres over the Nutanix Platform. Learn more about ERA here: https://www.nutanix.com/products/era

San Jose, California

I work for the ERA team at Nutanix. I introduced support for Provisioning and Copy Data Management for MariaDB and MySQL into ERA. Learn more about ERA here: https://youtu.be/FoDGtORWNnU

Redwood Shores

I worked on the Parallel Query Framework and necessary SQL Execution framework to facilitate queries in ORACLE RDBMS to execute in parallel.As a member of the Parallel Query group my day to day activities included- improving the Oracle rdbms by adding new features and optimizations - fixing any urgent customer/internal issues- mentoring new hires and help them become productive members of the team.I worked on following key things:1) Avoid slave accumulation for Parallel Queries with scalar sub-queries Certain parallel SQL execution plans displayed accumulation of slaves (processes to which workload is distributed) during execution leading to wastage of resources. I reorganized execution framework to make sure we successfully execute such queries and without leading to accumulation of slaves.2) Partition wise DISTINCT operation Partition wise operations have certain advantages over non-partition wise operations. Oracle supports partition wise operations for various constructs like Group BY. I extended partition wise execution semantics to distinct aggregate leading to better plans for queries over partitioned tables.3) Rectify issues in parallel skew handling by revisiting the design and adding improvements.4) Modify existing execution plans to improve performance for queries involving MIN/MAX over partitioned tables.5) Improve user visible Parallel Query statistics by improving stats coverage to entire query execution and making statistics correct for certain scenarios.

Redwood Shores

I worked in the Parallel Query group in SQL division

Bengaluru Area, India

I created a GUI framework where a user could choose which tests to run and using Pairwise Independent Pictorial Testing from Microsoft, i would generate various permutationsof test parameters over which testing was to be done.

B.Tech - M.Tech Dual Degree, Computer Science And Engineering

I completed by Bachelors and Masters education in Computer Science and Engineering. For my masters thesis i worked on Efficient Profiling.

Education record

Intermediate