Prachi Poddar - Engineering Manager at LinkedIn

Prachi Poddar

Engineering Manager at LinkedIn

Mountain View, California, United States

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Summary

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Rockstar

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Top School

Prachi Poddar is a computer scientist based in New York with ten years of software engineering experience and is currently pursuing a Master’s in Computer Science at Stony Brook University. She specializes in backend systems and data tooling, contributing to prominent open-source projects such as Cloudera's Hue where she implemented backend fixes and features around job browsing, data import, error handling, and progress reporting. Her contributions—primarily in Python and Mako templates—include pragmatic enhancements like flexible delimiter support to make data ingestion more robust. Prachi combines graduate-level academic rigor with production-grade engineering, focusing on reliable database and warehouse-facing services.

10 years of coding experience

9 years of employment as a software developer

High School, Physics, Chemistry, Mathematics, A+, High School, Physics, Chemistry, Mathematics, A+ at Cambridge Court High School

Bachelor’s Degree, Computer Science, 3.8 / 4.0, Bachelor’s Degree, Computer Science, 3.8 / 4.0 at Rajasthan Technical University

Master’s Degree, Computer Science, 3.6 / 4.0, Master’s Degree, Computer Science, 3.6 / 4.0 at Stony Brook University

English, Hindi, Sanskrit

Stackoverflow

Stats

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0reached

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Github Skills (15)

database-administration10

admin10

python10

back-end-development10

data-engineer9

editor9

database9

sql-db9

query-builder9

sql9

editors9

databases9

data-warehouse7

compose7

autocomplete7

Programming languages (1)

JavaScript

Github contributions (5)

cloudera/hue

Jun 2017 - Aug 2017

Open source SQL Query Assistant service for Databases/Warehouses

Role in this project:

Back-end Developer

Contributions:68 commits, 9 pushes, 2 branches in 2 months

Contributions summary:Prachi primarily contributed to the backend of the Hue SQL Query Assistant service, focusing on bug fixes and feature enhancements related to job browser and data import functionalities. Their work involved modifying code in Python files (`.py`) and Mako templates (`.mako`). The user addressed issues such as error handling, progress reporting, and database interaction within the Hue ecosystem. The user also implemented new features, such as allowing the use of different delimiters to import data into the database.

querysql-editormysqlassistantsql

prachi108/prachi108.github.io

Jul 2017 - Dec 2024

Contributions:8 pushes, 1 branch in 7 years 7 months

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