Payal Raut
@payalraut
I build scalable data pipelines and ELK monitoring solutions that improve payment performance and threat detection.
IndiaWhat I'm looking for
At Capgemini, I migrate critical payment monitoring applications to AWS ELK clusters and build data-ingestion pipelines for Barclays UK Global Payments Monitoring.
I design Logstash pipelines across Kafka, JDBC, and JMS, create Kibana dashboards and Watcher alerts, and automate Elasticsearch and Kibana deployments through GitLab CI/CD. My work improved application scalability and performance by 30%, reduced manual intervention by 45%, and cut issue-resolution time by 70%.
Previously at Jio Platforms, I developed a Kubernetes-deployed FastAPI application for Phishing Risk Scoring and optimized ELK-based security monitoring. I also integrated Elastic APM with FastAPI applications backed by SQLite and Elasticsearch for real-time performance monitoring.
I bring hands-on experience in Python, FastAPI, Kafka, Logstash, Elasticsearch, Kibana, and cloud-native deployments, along with experience mentoring new hires in ELK Stack fundamentals and pipeline configuration.
Experience
Work history, roles, and key accomplishments
Orchestrated migration of critical payment monitoring applications to AWS ELK clusters, enhancing scalability and performance. Crafted tailored solutions using watchers and pipeline alerts, and established Kibana Watcher alerts to monitor transaction anomalies.
Spearheaded development of a FastAPI application for Phishing Risk Scoring, deployed on Kubernetes, improving detection rates. Administered deployment of scalable applications on Kubernetes and enhanced security monitoring through ELK Stack.
M.Tech. Intern - Data Analyst
Reliance Industries Ltd.
Jun 2019 - May 2020 (11 months)
Engineered Logstash pipelines to transform and structure unstructured log data, enabling impactful visualizations. Automated manual report extraction processes and collaborated with SOC analysts to architect dynamic Kibana dashboards.
Education
Degrees, certifications, and relevant coursework
College of Engineering, Pune
Master of Technology, Computer Science and Engineering
Master of Technology in Computer Science and Engineering from College of Engineering, Pune, completed in 2020.
MMCOE, Pune
Bachelor of Engineering, Computer Science and Engineering
Bachelor of Engineering in Computer Science and Engineering from MMCOE, Pune, completed in 2016.
Availability
Location
IndiaAuthorized to work in
Salary expectations
Social media
Job categories
Skills
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