Sonal Goyal
Founder at Zingg.AI
Noida, Uttar Pradesh, India
Summary
🤩
Rockstar🎓
Top SchoolSonal Goyal is a founder and seasoned data engineering leader with 15 years building scalable, production-grade data systems and AI-driven products from consulting to open source. She leads Zingg.AI and the open-source Zingg project for ML-based entity resolution and data mastering, bringing practical integrations like Snowflake support and hands-on backend engineering to solve enterprise data silos. Previously she ran Nube Technologies and provided niche big-data and cloud consulting across Hadoop, Hive, NoSQL and AWS, helping teams move from brittle rule-based pipelines to scalable ML workflows. Based in Noida, she combines deep Java and distributed-systems expertise with a UX-aware approach to make data pipelines easier to configure and maintain. An IIT Delhi chemical engineering graduate turned data technologist, she often bridges product, engineering and data science—so customers get production-ready tooling rather than prototypes.
15 years of coding experience
15 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Class 12 Maths and Science ISC board, Class 12 Maths and Science ISC board at St. George's College, AgraICSE Maths Physics Chemistry Biology English Computers Hindi, ICSE Maths Physics Chemistry Biology English Computers Hindi at St. Anthony's School, Agra
English, Hindi
Stackoverflow
19reputation
15kreached
1answer
0questions
Github Skills (11)
javas10
data-pipelines10
data-pipeline10
back-end-development10
snowflake10
java10
data-engineering10
data-transformation9
etl9
hbase6
groupby6
Programming languages (5)
Github contributions (5)
zinggAI/zingg
Aug 2021 - Jan 2023
Scalable identity resolution, entity resolution, data mastering and deduplication using ML
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:13 releases, 331 reviews, 796 commits in 1 year 5 months
Contributions summary:Sonal primarily contributed to the project by implementing features related to data processing and database interaction. They added support for Snowflake integration, which involved modifying the format configuration and introducing new Java classes within the client library, to facilitate data ingestion and processing. The user also fixed a linking issue and worked on data documentation and preparation, likely involving the data engineering aspects for this ML project.
entitydata-integrityidentityanalytics-engineeringrecord-linkage
sonalgoyal/hiho
Nov 2010 - Apr 2013
Contributions:29 commits in 2 years 5 months
incrementalincremental-updatededupdatabasesspark
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