I am working in the data platform team, developing the new product of AppDynamics, AppdCloud.
My usual activities involve designing, developing and optimising microservices that perform transforming operations on milions of data packets every minute.
Additional duties include investigating and solving bugs, taking up oncall and deploying to production.
My biggest contributions here includes creating a library that is used to report slo metrics by all kafka based services in Appdynamics.
Created an indexing mechanism over data present in AWS s3 buckets to speed up query.
Worked with hadoop distributed file system(HDFS) and leveraged map-reduce to provide a faster
solution. The tech stack also included Spark and Zeppelin.
Took care of small file problem in the proposed solution by generating equivalent size files.
The final solution was able to reduce the query time by 40 percent in our tests
Meet-Hobby
A social networking app that can be used by people of similar interest to form groups.
Use cases include creating groups, group creators having admin access such as adding/removing people from group and creating new admins.
Group members can create posts within the group and all users have ability to like and comment on these posts.
We created elaborate designs of the database to optimise the fetch operations.
The app was built using Django and MySQL.
HereIAm
A web application that can be used to organise our life.
Use cases include scheduling meetings, providing reminders, creating resume, a movie recommender, etc.
Used standard software engineering practices like creating SRS document and DFD.