Full-Stack position on a product-oriented team responsible for ensuring the quality of BuildingConnected’s social network data

Overhauled internal tool used for adding clients’ data into the network using React, Elasticsearch and MongoDB to massively increase capacity to onboard new clients while reducing data duplication and manual error correction

Analyzed user-created data in Snowflake to identify and merge potential duplicates

Debugged legacy data ingestion pipelines in Airflow and AWS

Wrote custom distributed processing stages in Scala with Akka Streaming to build a data ingestion pipeline from Kafka to Elasticsearch

Defined data formats and designed committing algorithm for indexer processing 20TB of data daily

Provisioned, deployed and supported Elasticsearch clusters

Wrote code to add support for multi-cluster Elasticsearch implementation

Led team scrum meetings and retrospectives; Mentored junior engineers

Designed and implemented logging solution for collection, processing, visualization and querying of log data using Elasticsearch, Logstash and Kibana.

Implemented data pipeline with Kafka and Zookeeper.

Lead workshop series and wrote to-the-point documentation to demonstrate how to use these tools efficiently and customize them for specific use cases.

Drastically reduced time and expertise needed to troubleshoot systems and perform root-cause analyses of bugs and failures.

Organized Tools summer internship logistics and events as part of the Tools GW Leadership Program