Zūm has reimagined student transportation, the nation’s largest mass transit system. Our integrated end-to-end cloud-based platform provides a modern service for school districts purpose-built around the needs of kids and the expectations of their families. Zum provides one seamless, real-time interface for parents, drivers, schools, districts, administrators, and operators, to transport children safely and with increased visibility and personalized care. Our multi-sized vehicle approach includes an electric vehicle-first commitment, reduces student commute times by up to 20%, and coupled with our marketplace, delivers added fleet efficiency and optimization. We have been driving the industry forward since 2015, and with more than 8 million miles completed to date, we are leading a new era of safe, reliable, efficient, and sustainable transportation. Learn more at www.ridezum.com.

I am a part of the rides team at Zum. We use NodeJs for backend development using Typescript with Firebase, BigQuery, Redis as our backbone of operations.

Third party integrations with Twilio, Zendesk, Fountain and Salesforce.

Worked on the following products

• Operational Insights – A cloud product that monitors Informatica's on-premise PowerCenter and BDM. A cloud agent collects operational data and sends it to an AWS based backend. Used Amazon S3, SQS, Redshift and Data pipelines to process data from approximately 150 customers having 400 repositories. Took full ownership to deliver Anomaly detection pipeline that alerts customers regarding anomalies occurring in their workflow runs. Created a Python based data pipeline with Chef based auto deployment on TaskRunners, UI to surface anomalous workflows and Data Access Layer.

• Enterprise Data Preparation - Delivered 3 new major features for Data Preparation component of IDL. Decoupled and redesigned how IDL and Dataprep services communicate, by identifying a stripped down version of dependencies to enhance the service launch time from 13 seconds to ~1 second.

• Mass Ingestion - Undertook the responsibility to deliver the complete UI and partial Back End for a brand new Informatica product called Mass Ingestion. The product helped in Ingesting data from relational data sources like Oracle, Teradata etc. to Big Data sources like HDFS, Hive etc., on a massive scale with advance monitoring capabilities.

Worked with DataPrep(previously Rev) team as a full stack intern to generate mappings compatible with PowerCenter and IDL. Contributed to the UI to support connectivity with Salesforce, Marketo and few other data centric products.