Practiced SRE fundamentals with Splunk and Pagerduty to ensure an SLA of 99% uptime and 700MS response time for team's APIs

Developed an ability for customers to gain instant access to their payments within millisecond that generated $1B Dollars in Revenue for Capital One within one year of being in production

Delivered intent within Capital One Fraud architecture ensure no fraudulent payment is occurring, leading to $60M saved per Small Business Card customers

Ensured proper EC2 right sizing through load testing with JMeter to save Capital One $10,743 in AWS Resources used by the team

Built applications with data orchestration tool like Airflow and built big data pipelines on AWS

ETL procedures and machine learning algorithms with Spark, using both Scala and Python

Built distributed applications with Docker, and scaling it with constantly growing data

Used Hive and Presto to handle big data ETL operations. Automated bash scripts.

Using Sequelize ORM to manage MySQL queries and migrations.

Unit testing routes, controllers and middle-wares using Mocha.

Working in Agile environment using tools like Jira for ticket management.