Hang Peng

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. - Assess the effectiveness and accuracy of new data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. - Develop A/B testing framework and test model quality. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy.

- Designed and built dataflow pipeline to ingest high volume data from enterprise data lake to public cloud with PII fields encrypted and tokenized. - Developed and optimized both streaming and batch data processing pipeline using Apache Beam and Google Cloud Platform. - Designed and implemented pipeline regression test framework and deploy script for Continuous Development and Continuous Delivery (CI/CD). - Worked on proof of concept to design event driven microservices backboned by Kafka as event bus using domain driven design concept. - Systematically document designs and solutions on confluence pages and periodically showcase end product to product owner.

- Design​ ​big​ ​data​ ​solutions​ ​and​ ​develop​ ​code,​ ​scripts​ ​and​ ​data​ ​pipelines​ ​that​ ​leverage​ ​structured​ ​and​ ​unstructured data​ ​integrated​ ​from​ ​multiple​ ​sources​ ​using​ ​various​ ​big​ ​data​ ​technologies​ ​such​ ​as​ ​​Nifi,​ ​HBase, Hive,​ ​Spark,​ ​Kafka. - Design​ ​and​ ​develop​ ​reusable​ ​ETL​ ​components​ ​to​ ​onboard​ ​various​ ​Finance​ ​and​ ​Reference​ ​data​ ​feeds​ ​into​ ​the Enterprise​ ​Data​ ​Lake. - Communicate​ ​and​ ​knowledge​ ​transfer​ ​project​ ​information​ ​to​ ​the​ ​production​ ​support​ ​team​ ​and​ ​other​ ​IT​ ​groups - Provide​ ​assistance​ ​to​ ​the​ ​application​ ​support​ ​team​ ​in​ ​troubleshooting​ ​and​ ​resolving​ ​production​ ​issues - Involved​ ​with​ ​agile​ ​development​ ​practices​ ​including​ ​test​ ​and​ ​deployment​ ​automation​ ​as​ ​well​ ​as​ ​continuous integration​ ​to​ ​improve​ ​overall​ ​execution​ ​speed​ ​and​ ​product​ ​quality - Identify​ ​business​ ​objectives​ ​and​ ​provide​ ​strategic​ ​advice​ ​on​ ​using​ ​Hadoop​ ​ecosystem​ ​to​ ​achieve​ ​goals.