Anjali Norwood
Engineering Senior Manager, Analytics Platform And Experience (APeX) At Netflix
Los Gatos, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAnjali Norwood is an engineering leader specializing in database query optimization and large-scale analytics platforms, currently serving as Engineering Senior Manager for Analytics Platform and Experience (APeX) at Netflix. Over a 20+ year career spanning IBM, Aster Data/Teradata, Arcadia Data and Netflix, she has built and led teams that power exabyte-scale data access, orchestration, and compute across engines like Spark, Trino, Druid and Snowflake. She helped originate and operationalize Iceberg as an industry-standard table format and contributed materialized view and schema enhancements to the Trino open-source engine. Known for blending deep systems-level expertise with people leadership, she consistently translates low-level query performance gains into platform-wide scalability and cost improvements. Based in Los Gatos, she brings a rare combination of research-grade database know-how and product-focused delivery that accelerates analytics velocity for large enterprises.
6 years of coding experience
25 years of employment as a software developer
Master of Technology Computer Science, Master of Technology Computer Science at Indian Institute Of TechnologyB.E. Computer Science and Engineering, B.E. Computer Science and Engineering at Visvesvaraya National Institute of TechnologySomalwar High School
English, Hindi, Marathi
Github Skills (13)
ice10
javas10
query-engine10
sql10
java10
apache-iceberg10
database9
distributed-systems9
databases9
big-data8
data-science8
analytics8
data-lake7
Programming languages (1)
Github contributions (5)
trinodb/trino
Aug 2019 - Aug 2022
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:83 reviews, 8 PRs, 160 comments in 2 years 11 months
Contributions summary:Anjali primarily contributed to the Iceberg connector within the Trino database engine, focusing on materialized view support and related features. They implemented the core functionality for creating, refreshing, and dropping materialized views, as well as determining their freshness relative to underlying base tables. Additionally, they modified the schema handling to mark fields of ROW type as optional for Iceberg schemas. These changes involved modifications to the core engine and connector code, as well as corresponding test cases.
prestodbdbmsindexingjdbcbigdata
anjalinorwood/presto
Mar 2020 - May 2021
Official home of the community managed version of Presto, the distributed SQL query engine for big data, under the auspices of the Presto Software Foundation.
Contributions:51 pushes, 7 branches in 1 year 1 month
queryquery-enginesqlbig-dataspark
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