Position: Data Analyst
Category: Data Engineer
English level: fluent
Years of experience: 4

Represented my University at a Nationwide Programming Contest, leading my team in C++/Java and emerged a winner.
Wrote a script to automatically perform tasks that require 100+ employees and 3+ days thereby saving the company money and stress on the employees.
Scalable data pipelines on Google Cloud using Data Bricks
Generating key business intelligence through data visualization using R
Buiding IOT system prototypes using Node-red on dockerized containers in Google Cloud
Design and creation of new data pipelines and maintenance of existing ones
Optimization of existing mechanisms for speed and cost-efficiency
Ensuring pipeline stability and best code practices through Unit/Integration testing and CI/CD
Design and implementation of a back-pressure mechanism for log fetcher to avoid data loss
Design and implementation of disabling mechanism for stuck workers based on statistics collected during the particular time window
Design and implementation of throttling for producers cluster to decrease lag between producers and consumers
Design and implementation of re-enabling mechanism for failed workers using exponential retry and jitter
Have added integration with new third party log sources for fetching
End-to-end delivery of the highly scalable cloud-native product