Shubham Pandey
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Shubham Pandey Email & Phone Number

Data Engineer | Purdue CS at StackAdapt
Location: West Lafayette, Indiana, United States 7 work roles 4 schools
1 work email found @stackadapt.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email s****@stackadapt.com
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Current company
StackAdapt
Role
Data Engineer | Purdue CS
Location
West Lafayette, Indiana, United States
Company size
51 employees

Who is Shubham Pandey? Overview

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Quick answer

Shubham Pandey is listed as Data Engineer | Purdue CS at StackAdapt, a company with 51 employees, based in West Lafayette, Indiana, United States. AeroLeads shows a work email signal at stackadapt.com and a matched LinkedIn profile for Shubham Pandey.

Shubham Pandey previously worked as Data Engineer at Stackadapt and Graduate Teaching Assistant at Purdue University. Shubham Pandey holds Master Of Science - Ms, Computer Science from Purdue University.

Company email context

Email format at StackAdapt

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{first}.{last}@stackadapt.com
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Profile bio

About Shubham Pandey

I have 4+ years of full time experience working as a backend developer building and optimizing large scale client facing applications from ground up.TECHNOLOGY EXPERIENCE: - SQL and NoSQL databases including MySQL, HBase, KDB+, Neo4j, Redis, MongoDB and KV Stores in general- Proficient in Java, C++, C, Python and Go- Intensive experience with Linux based systems- Built RESTful APIs (using Spring Framework) in Java to process millions of records on the fly- Strong understanding of System Design, Object Oriented Programming and Design Patterns- Designed Database Schema and optimized queries in SQL, Hive and Q- Built Textual Mining, Processing and Analytics engines in PythonI am always excited for roles related to Data Engineering and Analytics. Building a system that is performant, highly available and produces correct results is a big challenge that I am always willing to take up. I like working on optimization problems and building tools that create an impact. In my free time, I like exploring stochastic techniques like Genetic Algorithms and I have a huge interest in Compression Algorithms as well. I also spend time in exploring Data Structures and Algorithms and solving problems and puzzles related to them.

Listed skills include Core Java, Linux, Algorithms, C, and 18 others.

Current workplace

Shubham Pandey's current company

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StackAdapt
Stackadapt
Data Engineer | Purdue CS
801-110 Spadina Avenue Toronto, ON M5V2K4 Canada
Website
stackadapt.com
Employees
51
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7 roles

Shubham Pandey work experience

A career timeline built from the work history available for this profile.

Data Engineer

Current
Stackadapt

Toronto, ON, CA

Jul 2023 - Present

Graduate Teaching Assistant

Purdue University

West Lafayette, IN, US

  • Information Systems
  • Topics Covered: Relational Databases, SQL Queries, Transactions, MongoDB and Neo4j
  • Organized study sessions and led group of 40 students in their database projects.
Aug 2022 - May 2023

Software Engineer (Intern)

Dgraph Labs

San Francisco, CA, US

  • Analysed the performance of underlying KeyValue store and other LSM based implementations. Performed YCSB benchmarks based on changes in size of values and frequency of 'Set' and 'Get' operations.
  • Added changes to the current implementation for faster query performance and better Disk and Memory usage.
May 2022 - Aug 2022

Graduate Teaching Assistant

Purdue University

West Lafayette, IN, US

  • Information Systems: Covered topics ranging from SQL and No-SQL DBs like MongoDB and Neo4j to Transactions and Consistency Levels. Led group of 40 students in their DB projects.
  • Data Structures: Developed programming assignments on advanced data structures and algorithms related to Trees and Graphs in C and C++.
Sep 2021 - May 2022

Analyst

Goldman Sachs

New York, New York, US

  • Algorithmic Trading Code: Wrote garbage collector free trade execution logic in Java. Built analyticsapplication and deployed it across multiple regions for developers to query intra-day and historical orders.
  • Columnar DB Query Optimization: Improved performance of queries to retrieve data from columnar DB(KDB+) and optimized code in Python to bring down application response time from over 60s to under 10s.
Mar 2020 - Aug 2021

Software Engineer

Visa

Foster City, California, US

  • Analytics Application: Optimized RESTful APIs written in Spring Framework. Wrote backend server code inJava to handle range queries efficiently and SQL queries to serve the client requests in real time.
  • ETL: Brought down the retrieval and processing time of millions of records to under 5s. Extracted data fromHDFS and computed aggregates using Hive queries. Loaded data into MySQL DB and designed DB schema.
Jul 2018 - Mar 2020

Intern

Visa

Foster City, California, US

  • Successfully filed a Trade Secret on a project that involved processing a significant volume of textual data and developing a score-based model for generating valuable suggestions.
  • Applied Textual Mining and Processing to identify complex address structures within the documents. This involved the use of Trie data structure that facilitated fast lookup of candidate strings.
May 2017 - Jul 2017
Team & coworkers

Colleagues at StackAdapt

Other employees you can reach at stackadapt.com. View company contacts for 51 employees →

JH Jack Hadlow Jack Hadlow Colleague at Stackadapt Oakville, Ontario, Canada, Canada View → MK Michael Kulakovskij Michael Kulakovskij Colleague at Stackadapt Tweed Heads, New South Wales, Australia, Australia View → MB Maddie Broccolo Maddie Broccolo Colleague at Stackadapt Chicago, Illinois, United States, United States View → SC Sara Connery Sara Connery Colleague at Stackadapt New York, New York, United States, United States View → MC Matt Charge Matt Charge Colleague at Stackadapt Southampton, England, United Kingdom, United Kingdom View → AL April(Qingyi) Liu April(Qingyi) Liu Colleague at Stackadapt Greater Toronto Area, Canada, Canada View → TB Thuvarakan Balakumar Thuvarakan Balakumar Colleague at Stackadapt Toronto, Ontario, Canada, Canada View → RM Ryan Mcclelland Ryan Mcclelland Colleague at Stackadapt United Kingdom, United Kingdom View → US Ula S. Ula S. Colleague at Stackadapt London, England, United Kingdom, United Kingdom View → CG Christopher G. Christopher G. Colleague at Stackadapt Atlanta, Georgia, United States, United States View →
4 education records

Shubham Pandey education

Master Of Science - Ms, Computer Science

Purdue University

Bachelor Of Technology - Btech, Computer Science

Motilal Nehru National Institute Of Technology

Sr. Secondary Education

Kendriya Vidyalaya No. 1 Jalandhar Cantt.

Secondary Education

Kendriya Vidyalaya No. 2 Afs Srinagar
FAQ

Frequently asked questions about Shubham Pandey

Quick answers generated from the profile data available on this page.

What company does Shubham Pandey work for?

Shubham Pandey works for StackAdapt.

What is Shubham Pandey's role at StackAdapt?

Shubham Pandey is listed as Data Engineer | Purdue CS at StackAdapt.

What is Shubham Pandey's email address?

AeroLeads has found 1 work email signal at @stackadapt.com for Shubham Pandey at StackAdapt.

Where is Shubham Pandey based?

Shubham Pandey is based in West Lafayette, Indiana, United States while working with StackAdapt.

What companies has Shubham Pandey worked for?

Shubham Pandey has worked for Stackadapt, Purdue University, Dgraph Labs, Goldman Sachs, and Visa.

Who are Shubham Pandey's colleagues at StackAdapt?

Shubham Pandey's colleagues at StackAdapt include Jack Hadlow, Michael Kulakovskij, Maddie Broccolo, Sara Connery, and Matt Charge.

How can I contact Shubham Pandey?

You can use AeroLeads to view verified contact signals for Shubham Pandey at StackAdapt, including work email, phone, and LinkedIn data when available.

What schools did Shubham Pandey attend?

Shubham Pandey holds Master Of Science - Ms, Computer Science from Purdue University.

What skills is Shubham Pandey known for?

Shubham Pandey is listed with skills including Core Java, Linux, Algorithms, C, Object Oriented Programming, Scala, Text Mining, and C (Programming Language.

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