Sundar Velayutham

AI Researcher

San Jose, California, United States21 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in Data Engineering with extensive experience in AI tools.
Proven track record in designing scalable data solutions.
Strong background in SQL and PL/SQL for performance tuning.

Stackforce AI infers this person is a Data Engineering expert with a focus on AI and database solutions.

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Skills

Core Skills

Data EngineeringDatabase EngineeringData Warehousing

Other Skills

OracleSQLPL/SQLETLShell ScriptingJavaHadoopPerlJUnitUnixDatabasesData ModelingPerformance TuningUnix Shell ScriptingSoftware Development

Experience

21 yrs 9 mos

Total Experience

4 yrs 3 mos

Average Tenure

7 mos

Current Experience

Stubhub

Principal Data Engineer

Oct 2025 – Present · 7 mos · San Jose, CA

I work on AI foundations for the data team across all functions helping build ai tools and frameworks that help teams accelerate AI adoption

Data Engineering

Apple

2 roles

Principal Data Engineer

Promoted

Sep 2024 – Oct 2025 · 1 yr 1 mo · Cupertino, California, United States

Lead Data Engineer iCloud Data

Senior Staff Data Engineer

Sep 2021 – Sep 2024 · 3 yrs · Cupertino, California, United States

Netflix

Staff Data Engineer

Aug 2013 – Sep 2021 · 8 yrs 1 mo · Los Gatos, California, United States

Yahoo!

Senior Database Engineer, Display Advertising

May 2010 – Sep 2013 · 3 yrs 4 mos

Work on the Advertiser systems database. This is an oracle DB that supports the advertiser application.

T-mobile

Database engineer

May 2005 – Apr 2010 · 4 yrs 11 mos

Working with the Software Development Engineering team of the T-Mobile Data Systems Engineering Group. The team develops applications to provide Data Services to T-Mobile customers and maintains subscriber and partner information in WIP Database.
Developing and maintaining SQL, PL/SQL code to provide backend API support to Data Services Applications.
Performing SQL Tuning on legacy SQL to improve OLTP system performance on a regular basis. Writing optimized SQL using oracles TKPROF and Explain Plan to increase performance of SQL.
Developing PL/SQL packages, procedures, functions and triggers to integrate new functionality into the WIP database.
Designed and Developed a Partner integration system from scratch to interface our “customer profile/services” database to external partner systems. The system used both the push and pull mechanism to send data to partners. System was designed to be highly configurable, scalable and data driven to avoid frequent code changes due to integration of new partners and/or changes to existing ones.
Designing a customer Data Warehouse called “Consumer Behavior Analysis” to warehouse consumer handset download and browsing patterns. This data is mined to generate Consumer Behavior reports for higher management. In the future this will also feed critical information to the recommendation engine to recommend downloads to subscriber and increase revenue.
Using OWB tool to build the warehouse solution. Business Objects is the tool used to mine the data for reporting.
Designed the warehouse star schema along with the ETL process to load usage data into the schema. Using Materialized view replication to replicate customer/profile and services information from the OLTP database to minimize impact on the OLTP system. Also implemented UNIX scripts for data file management prior to the ETL begins.

SQLPL/SQLETLData WarehousingDatabase Engineering