Leading the software development for a new managed AWS service for federated data ingestion into the Datalake.

Technical lead for team responsible for engineering the Machine Learning infrastructure to operationalize the Data Science/ML models for NBCUniversal's new streaming service, PeacockTechnologies: Python, Google Cloud Platform (BigQuery, Dataproc/Spark, AI Platform, Pub/Sub, Dataflow/beam, Deployment manager), Airflow, Kubernetes, Jenkins

• Led efforts to build & deploy the company's first Machine Learning pipeline to forecast profits with Python, Airflow, BigQuery, Data Studio• Engineered ETL pipelines to analyze point of sale (POS), advertising, & web analytics data with Python, Airflow, BigQuery, Pub/Sub, Kubernetes• Built & maintained BI visualizations for business metrics in Google Cloud(BigQuery), Airflow, Tableau & Python, Docker (Kubernetes)

• Architected organization's first data validation infrastructure using Python, Spark and Airflow to minimize response time to faulty Disney+ subscriber data across billions of rows in Snowflake/S3• Reduced Disney+ internal service error margins by executing Redshift/Snowflake Spark SQL queries in Airflow• Developed data validation strategy and presented actionable insights to the company's SVP and VPs

• Orchestrated and led efforts spanning multiple teams to load test a heavily utilized service using JMeter, Jenkins, AWS and Splunk• Conducted R&D for the migration of a guest facing application from AngularJS to Angular 5

• Engineered data pipeline in Java, Hadoop (HDFS, Hive, HBase), Storm, Kafka and AWS to monitor the stability of Parks and Resorts Data Platform• Developed a Java Benchmark script to performance test Hive query times• Implemented the automation of several arduous bash tasks using Ansible

Worked on the Data Platform team • Created Apache Spark batch/streaming application in Scala to transform semi-structured data from Kafka with a dynamic schema • Pioneered a resilient Kafka Python module to augment uber's uReplicator for inter-cluster replication • Wrote Python Script to showcase Apache NiFi automated workflow deployment • Laid groundwork to enable SSO (Single Sign On) to Amazon Redshift for BI analysts • Explored and tested multi-tenancy options… Show more Worked on the Data Platform team • Created Apache Spark batch/streaming application in Scala to transform semi-structured data from Kafka with a dynamic schema • Pioneered a resilient Kafka Python module to augment uber's uReplicator for inter-cluster replication • Wrote Python Script to showcase Apache NiFi automated workflow deployment • Laid groundwork to enable SSO (Single Sign On) to Amazon Redshift for BI analysts • Explored and tested multi-tenancy options for Amazon Redshift Show less

CS/COE 0445, Data Structures (Spring 2018)• Lead lab hours where I present course material and help students complete lab assignments• Hold office hours to answer students questions on projects, exams, course material etc.

Worked on all portions of the stack to create an instructor dashboard for an eLearning platform. • Designed an analytical section overview page using React and Relay • Implemented multiple server-side optimizations to greatly improve backend performance • Architected hierarchal data model to enable admins/instructors to provision content using React, Relay, Node.js, GraphQL • Added white label support so clients could brand the product as their own

Worked on both frontend and backend to create a web application for a patient portal• Developed a responsive dashboard UI using Angular, HTML and CSS• Implemented an appointment management system using Node.js, MySQL, Twilio and Stripe