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NISHANT BULCHANDANI

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ABOUT ME
Software Lover, System Design/HLD Coach
Software Lover, System Design/HLD Coach

I have been working as a developer for ~10 years in big companies like Amazon, PayPal and Snapdeal.

Having worked on Highly Scaleable and reliable systems, I have good amount of experience in this field. I am a very active and well rated System Design Coach at Top training companies(pesto.tech, Crio.do) in India who help people up-skill to FAANG level jobs.

I have also given many tech company interviews and interviewed many candidates.
Having received immense help from others in my career ,I really like to help people grow & love mentoring other engineers.

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Hindi, English
Chennai (+05:30)
Joined March 2023
EXPERTISE
Back-End
9 years experience
Java
9 years experience
AWS
5 years experience
Worked in Amazon as a Product Developer for 5 years with many of AWS technologies.
Worked in Amazon as a Product Developer for 5 years with many of AWS technologies.

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EMPLOYMENTS
Software Development Engineer 2
Amazon
2017-05-01-2022-06-01
Worked on designing and implementing a stack for providing quick and easy device level visibility for Amazon Counter app. This drasticall...
Worked on designing and implementing a stack for providing quick and easy device level visibility for Amazon Counter app. This drastically reduced the turn around time for common problems as we had 10X faster visibility of app. Lead the backend design for automatic performance report generation for Amazon Counter partners. This was a scale blocker for the expansion of counter network as it was a manual effort earlier.This reduced the turnaround time for data by more than 50% and led to faster corrections.
SQL
Amazon S3
Amazon RDS
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SQL
Amazon S3
Amazon RDS
Amazon Redshift
GraphQL
AWS Lambda
Cloud Architecture
Mobile App Development
RESTful API
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Senior Software Engineer
Snapdeal
2015-11-01-2017-04-01
Built a central SaaS solution for all the Quality Checks done for a product in Snapdeal. It involved RuleEngines, REST Services etc. Als...
Built a central SaaS solution for all the Quality Checks done for a product in Snapdeal. It involved RuleEngines, REST Services etc. Also, worked on a company level event notification system for communicating interesting state changes across systems & also to take configurable actions on receiving these events.
Java
Configuration management
Apache Kafka
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Java
Configuration management
Apache Kafka
RESTful API
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Software Engineer
PayPal
2012-07-01-2015-11-01
Worked as an engineer in the Reporting team where we built an in house replacement for IBM Cognos which was 60% faster and scaled way more.
Worked as an engineer in the Reporting team where we built an in house replacement for IBM Cognos which was 60% faster and scaled way more.
Java
PDF
Batch File
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Java
PDF
Batch File
Hibernate ORM
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PROJECTS
Device level visibility for Amazon Counter app
Amazon
2022
Owned the design and implementation of a stack for providing quick and easy device level visibility for Amazon Counter app. Instrumented ...
Owned the design and implementation of a stack for providing quick and easy device level visibility for Amazon Counter app. Instrumented package lifecycle events for debugging common app. issues via easy lookup in a datastore compared to previous manual log analysis. This drastically reduced the turn around time for common problems as we had 10X faster visibility of app. It was further used for monitoring launches of new app versions , monitoring partner performance by Operations team etc.
Database
Amazon S3
Amazon Redshift
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Database
Amazon S3
Amazon Redshift
AWS Lambda
Mobile App Development
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Partner Performance Reports for Amazon Counter
Amazon
2022
Lead the backend design for automatic performance report generation for Amazon Counter partners. This was a scale blocker for the expansi...
Lead the backend design for automatic performance report generation for Amazon Counter partners. This was a scale blocker for the expansion of counter network as it was a manual effort earlier. It involved generating reports on aggregated performance metrics and search usecases on package level data. This was exposed via a webportal for clients. This reduced the turnaround time for data by more than 50% and led to faster corrections.
Amazon RDS
AWS Lambda
Cloud Architecture
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Amazon RDS
AWS Lambda
Cloud Architecture
Software architecture
AWS
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