Arati Rana is a Data Engineer and Senior ETL Developer with 8 years of experience building enterprise-grade data platforms and pipelines. She has led design and implementation of an Enterprise Data Platform using Python, Snowflake and a wide range of AWS services (S3, Lambda, Glue, Step Functions, DynamoDB, Athena, Redshift) to enable end-to-end ETL, data lakes, curation and analytics for data science and visualization. At Prudential and previous clients she streamlined Informatica and SSIS workflows—cutting data load times by 40%—and built advanced SQL artifacts and materialized views to support executive reporting. She champions data quality, lineage, governance and privacy while authoring BAU operational playbooks and mentoring junior engineers. An active open-source contributor, she has contributed front-end improvements to Nextcloud Contacts and back-end enhancements to Prometheus and Grafana, reflecting full-stack fluency across observability and user-facing tooling. Based in Secaucus, NJ, she combines engineering rigor with cross-functional delivery experience in financial and enterprise domains.
8 years of coding experience
6 years of employment as a software developer
Diploma of Education, Electronics and telecommunication, Diploma of Education, Electronics and telecommunication at Government Polytechnic College
Bachelor of Engineering - BE, Electronics Engineering, Bachelor of Engineering - BE, Electronics Engineering at Walchand College of Engineering
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Role in this project:
Back-end Developer
Contributions:312 reviews, 173 PRs, 685 pushes in 3 years
Contributions summary:Arati primarily worked on refactoring and removing fields related to service accounts and datasources within the Grafana project. Their contributions involved code changes across multiple files related to service accounts, impacting testing code as well. Furthermore, the user removed result fields from datasources and related queries, affecting multiple aspects of the codebase. This suggests a focus on backend code cleanup and refactoring efforts.
The Prometheus monitoring system and time series database.
Role in this project:
Back-end Developer
Contributions:8 reviews, 4 PRs, 12 comments in 6 months
Contributions summary:Arati primarily contributed to enhancements and refactoring within the Prometheus project. Their work involved adding support for native histogram values within alert templates, enabling more detailed metric information in alerts. They also implemented functionality to handle native histogram values in template functions, improving the flexibility of the alerting system. Further contributions include improvements to sorting functionality, ensuring consistent label-based ordering in PromQL.
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