• Contributed to developing Python microservices with Flask in distributed systems, improving data processing performance by 20% through test-driven development practices.

• Assisted in deploying microservices on Kubernetes with AWS integration, supporting CI/CD pipelines with Git and Jenkins to accelerate release cycles by 20%.

• Collaborated on building ML pipelines with PySpark on AWS, increasing efficiency of large-scale data processing tasks by 25%.

• Assisted in building backend components using Python (Flask) and GCP services to support data processing features in client-facing applications

• Wrote and maintained Apache Airflow workflows for data pipelines, improving reliability of scheduled jobs and integration with Jenkins

• Contributed to SQL and NoSQL queries, optimizing retrieval logic and ensuring accuracy of reporting data

• Developed and deployed AWS Lambda functions to automate data collection

• Devised an internal loan recollection tool leveraging AWS Lambda, Python and Django resulting in a 50% reduction in manual

recollection efforts

• Planned and migrated company’s website from React.js, Vue.js to regular JavaScript leading to 40% increase in SEO rankings