Namrata Thanvi
SVP at Citi
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolNamrata Thanvi is an accomplished senior engineering leader with 19+ years of experience designing and scaling enterprise data platforms and distributed systems, currently serving as SVP leading multi-region teams for Market Risk data at Citi. She blends deep hands-on technical expertise in Java/Scala/Python, Kafka, Spark/Hadoop, Starburst (Trino) and Elasticsearch with strong operational rigor—driving automation-first reliability, intraday streaming, regulatory-aligned delivery and self-service observability. Her career combines product-focused engineering (SnappyData/Apache Geode contributions) with practical risk domain fluency, enabling her to translate complex market-risk calculations like HVaR and MCVaR into auditable, scalable platform capabilities. Known for improving time-to-consumption and EUC risk reduction, she repeatedly delivers measurable business outcomes through governance, traceability and platform modernization. Based in London, she brings a rare mix of distributed-systems craftsmanship and stakeholder partnership across APAC, EMEA and NAM.
10 years of coding experience
7 years of employment as a software developer
Master of Computer Applications (MCA), Master of Computer Applications (MCA) at Jai Narain Vyas UniversityBSE – Jai Narain Vyas University
English
Github Skills (9)
javas10
databases10
relational-databases10
jdbc10
sql-database10
java10
database10
concurrency9
sql9
Programming languages (2)
Github contributions (5)
TIBCOSoftware/snappydata
Oct 2015 - Nov 2016
Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster
Role in this project:
Back-end Developer
Back-end DeveloperContributions:156 commits, 62 PRs, 100 pushes in 1 year 1 month
Contributions summary:Namrata primarily focused on back-end development within the SnappyData memory-optimized analytics database project. Their contributions involved implementing and modifying JDBC-related code, including adding functionalities like the `SnappyMutableURLClassLoader`, handling concurrent connections, and ensuring proper serialization. They also made modifications to existing components to improve the performance and handling of database table sizes within the SnappyData ecosystem. These changes suggest a focus on the core storage and retrieval mechanisms of the database.
memorypredictstreammemory-databasetransact
vmware-archive/gemfirexd-oss
Jan 2016 - Oct 2016
Pivotal GemFire XD
Contributions:6 PRs, 2 comments in 9 months
pivotalgemfire
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