Palash Chauhan

DevOps Engineer

Seattle, Washington, United States7 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable distributed systems.
Proficient in big data technologies and frameworks.
Strong academic background in computer science.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in SaaS and Big Data solutions.

Contact

palashc983@gmail.com LinkedIn

Skills

Core Skills

Distributed SystemsBig Data

Other Skills

Apache HBaseApache KafkaApache PhoenixApache SparkCC++Computer VisionDeep LearningDruidGoHTMLHadoopJavaKerasMachine Learning

About

I am a software engineer at Salesforce. I obtained my masters degree in CS at UC San Diego and my undergraduate degree in CS from Indian Institute of Technology, Kanpur. My interests lie in Distributed Systems and Big Data. Building scalable and highly available systems for data using the latest technologies is where I see myself in the future.

Experience

Salesforce

3 roles

Senior Member of Technical Staff

Promoted

Feb 2024 – Present · 2 yrs 1 mo

🟢 Salesforce Phoenix
Fully managed bigdata storage service for all of Salesforce - based on Apache HBase and Apache Phoenix.
🔹 Distributed Server Side Metadata Caching
🔹 Change Streams
🔹 REST APIs

Distributed SystemsApache HBaseApache PhoenixBig Data

Member Of Technical Staff

Jul 2021 – Feb 2024 · 2 yrs 7 mos

🔹 Schema Management
🔹 Client-Side Connectivity Observability
🔹 Client-Side Metadata Caching

Software Engineer Intern

Jun 2020 – Sep 2020 · 3 mos · San Francisco, California, United States

Big Data @ Scale

The apache software foundation

Apache Phoenix Commiter

Feb 2024 – Present · 2 yrs 1 mo

🟢 https://phoenix.apache.org/
🔹 phoenix : Apache Phoenix is an open-source relational database engine that layers SQL + JDBC (with ACID support) on top of Apache HBase — letting you query and manage HBase data using familiar SQL instead of NoSQL APIs.
🔹 phoenix-adapters : Apache Phoenix Adapters provides alternate front-end APIs — most notably a REST interface with Amazon DynamoDB–compatible semantics — on top of Apache Phoenix/Apache HBase, so that applications built against DynamoDB can run “as-is” against Phoenix/HBase.