Amol Nayak
Distributed Systems Software Engineer at Apple
Mountain View, California, United States
Summary
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Rockstar🎓
Top SchoolAmol Nayak is a Distributed Systems Software Engineer with 14+ years building high-performance, cloud-ready services and APIs, currently focused on distributed systems at Apple in Mountain View. He is fluent in Java and Python and has led architecture and re-architecture efforts—most notably designing MSCI’s high-throughput Model Services API and migrating legacy delivery pipelines to REST and MongoDB. An active open-source contributor and author of three MongoDB books, he has contributed to prominent projects like Spring Integration and FiloDB, improving JPA integration, JDBC adapters, and query correctness in a distributed time-series DB. Amol combines hands-on backend implementation with systems thinking around data consistency, shard migrations, and persistent indexing, and he regularly mentors teams and drives POCs to influence technical roadmaps. He brings a blend of financial-services rigor and practical engineering curiosity, with a track record of shipping robust integration and data-persistence solutions at scale.
14 years of coding experience
15 years of employment as a software developer
Bachelor of Engineering - BE, Computers, Bachelor of Engineering - BE, Computers at Savitribai Phule Pune University
English, Marathi, Hindi, Konkani
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
spring-integration10
spring10
query-optimization10
eip10
jdbc10
java10
scala10
javas10
sql10
jpa10
lucene9
distributed-systems9
jtest9
junit9
prometheus8
Programming languages (3)
Github contributions (5)
filodb/FiloDB
Sep 2021 - Dec 2022
Distributed Prometheus time series database
Role in this project:
Back-end Developer
Back-end DeveloperContributions:408 reviews, 46 commits, 180 PRs in 1 year 2 months
Contributions summary:Amol's commits focus on fixing issues and improving the query functionality within the FiloDB time series database. Their contributions include resolving bugs related to multi-partition aggregation and shard migrations, ensuring correct execution plans. They also worked on the ability to get approximate cardinality of labels of metrics, and persistent index checkpointing. These changes demonstrate a focus on improving query performance, data integrity, and the overall reliability of the database.
time-series-databaseseries-databasevictoriametricsscaladatabase
spring-projects/spring-integration
Feb 2012 - Oct 2013
Spring Integration provides an extension of the Spring programming model to support the well-known Enterprise Integration Patterns (EIP)
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits in 1 year 7 months
Contributions summary:Amol contributed to the Spring Integration project, specifically focusing on enhancing JPA integration capabilities. They added JPA adapter functionality, including the ability to automatically resolve entity classes and support for transactional behavior within JPA outbound gateways and channel adapters. Furthermore, they modified the existing code by fixing issues and adding support for features such as "firstRecord" and "max-results-expression" within the JPA executor, which improves its retrieving capabilities.
spring-bootenterprise-integrationspring-integrationprogramming-modelspring
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