Rahul Jain
Engineering Manager, AI Data Products
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolRahul Jain is an engineering manager and hands-on technical leader with 14 years of experience building scalable, governance-first data platforms and AI-driven data products from Berlin. He currently leads AI Data Products at Bobsled, architecting a privacy-first, multi-agent Text-to-SQL sandbox that blends semantic modeling, context-aware query generation, and automated evaluation for enterprise datasets. Rahul has repeatedly modernized data stacks—moving companies from monolithic lakes to cloud-native platforms (Iceberg/Delta, Snowflake, BigQuery, Databricks) and delivering measurable cost and reliability improvements. He’s comfortable both setting strategy and shipping infrastructure, having stood up data teams, defined domain-driven models, and acted as an FDE with customers under tight timelines. An active mentor and writer, he contributes to open-source data validation (Great Expectations) and publishes on data architecture and platform thinking. Less obvious: he pairs product-facing customer work with deep evaluation harnesses and instrumentation to track LLM accuracy drift in production.
14 years of coding experience
18 years of employment as a software developer
Bachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at Indian Institute of Technology (Indian School of Mines), Dhanbad
English, German
Stackoverflow
12,936reputation
1.8mreached
114answers
45questions
colors
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soap
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bash
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loops
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java
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wsdl
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Github Skills (29)
data-validation10
datatypes10
python10
data-engineering10
databases10
sqlalchemy10
data-integration10
sql-database10
colors9
testing9
data-quality9
wsdl9
webservice9
java9
soap9
Programming languages (13)
Github contributions (5)
great-expectations/great_expectations
Feb 2019 - Feb 2020
Always know what to expect from your data.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:18 commits, 4 PRs, 7 comments in 1 year
Contributions summary:Rahul primarily contributed to the backend functionality and data handling aspects of the Great Expectations project. They implemented features for handling schemas and datetimes within SQLAlchemy datasets, enhancing the library's capabilities for data validation. Their work included modifying existing data context classes and dataset functionalities, focusing on data type parsing and output formatting, as well as refactoring test utilities. These changes improved data validation by enabling the use of datetimes and schemas, supporting a wider range of data sources.
pythondatadata-integritydatacleanerpipeline-testing
rahulj51/rahulj51.github.io
Oct 2020 - Jan 2023
Contributions:123 pushes, 1 branch in 2 years 3 months
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