Network Data Lake TeamSr Big Data Engineer for petabyte-scale Data Lake hosting thousands of Verizon’s Wireless and Wireline network datasets in support of multiple application, modeling, and curation teams as well as business users across multiple Data Lake environments• Managing multiple Cloud and On-Premise Data Lake environments: Cloudera Distribution , Yahoo distribution, and Google Cloud Platform• Leading, designing, and developing scalable Big Data solutions including developing end-to-end data pipelines using Apache NiFi, developing DevOps pipelines for automating and standardizing dataset onboarding, leveraging data warehouse / query engines for enabling analytics, and implementing large-scale migration of petabytes of data between Hadoop and Cloud infrastructures• Google Cloud Platform experienced Data Engineer maintaining multiple Google Cloud Projects and leveraging Cloud services: Dataproc, BigQuery, Cloud Storage, and Cloud Functions• Developed and tuned thousands of ingress and egress data pipelines utilizing Apache NiFi to handle large scale data volume datasets • DevOps experienced Data Engineer leveraging CI tools: Jenkins and Screwdriver to develop multiple automated Big Data frameworks including a deployment framework for orchestrating thousands of scheduled jobs within Apache Oozie, managing Data Lake Disposal within multiple filesystems (HDFS, Cloud Storage, Hive, BigQuery) • Developed Metadata Driven Framework to maintain and automate dataset onboarding tasks such as Dataset Tagging, Schema Creation for Apache Hive and BigQuery, and facilitating deployment of data feeds into multiple dynamic environments (Yahoo, Google Cloud Platform)

Network Data Lake Team Contributing member of high performing Big Data engineering and administration team•Platform knowledge within HDF and HDP 2.6 environment (Ranger, Ambari, HDFS, Nifi, Spark)•Ingested data flows utilizing Apache Nifi•Creation of Hive tables, databases, and queriesNetwork Data Science Team Data Scientist and Project Manager for dedicated AI/ML team •Manage AI/ML team tasks, projects, and weekly progression•Utilized Confluence to manage/create online portal for team use•Support and present over AI/ML use cases to enhance business decisions to key team members and executives•Platform experience with Zeppelin Notebook, Jupyter Notebook, and CLI to leverage Big Data environment through use of languages such as Python, Spark, Pyspark

• Maintaining and auditing Adhoc data requests• Troubleshoot software and hardware issues within the department• Maintain inventory

Extensive work in customer service such as assisting many customers with personal requests,informing customers about recent sales deals and prices, and having experience with checking outcustomers through the register

Established and managed inventory and contact database system using Microsoft Excel to recordinventory stock and customer details/contact information