At Hevo, we are building an ecosystem around data integration, with key challenges revolving around data availability, visibility, and enrichment. These challenges form the core principles around how we work. At Hevo, my key responsibilities were: - Designed and implemented an end-to-end connector and SDK for the data source, Braze, a software as a service (SaaS) platform for Customer Engagement by deciding the source objects, the polling strategies, building the SDK authentication, models, client, and the connector offset, tasks, and services for polling each source object. This was supplemented by appropriate error handling for Socket Connection and Polling. - Worked on and resolved several bugs on already existing connectors tracked by Sentry and Coralogix - Worked on resolving Google Big-Query and Marketo On-call issues supported by Senior developers - Developed Unit tests for Outbrain.

- Designed and implemented MQTT bridge functionality in Moquette, an open-source lightweight Java MQTT broker - Implemented a socket programming system for the transfer of messages between the MQTT message broker and the bridge client - Implemented a lexical analyzer to parse the user-specified configuration of the bridge properties

Implemented Machine Learning algorithms and Feature Engineering techniques to predict KPI values for eNodeB-s and consequently a ranking system to orderly restore them during a network failure