• Worked with Terabytes of data in Hadoop and leveraged various applications within the Hadoop ecosystem, including Hive, Impala, Sqoop and Pig• Created Tableau datasources and dashboards, optimizing the performance of underlying query logic as well as presentation of the resulting visualizations • Built a prototype of TV Recommendation System using Spark's Machine Learning library • Worked on different POCs and explored data analysis opportunities • Collaborated with external teams to bring in new datasets by understanding the dataset and potential use cases, as well as designing and implementing ETL logic• Performed ad-hoc data pulls by analyzing data across Hadoop and Teradata • Documented analytical processes, datasets and tool instructions in details

• Performed data pulls by mining, summarizing and interpreting millions of records of data across Redshift, MySQL and MongoDB to support different business units of internal stakeholders with data-driven decisions• Created and optimized data visualizations in Tableau to deliver KPIs and other insights • Developed and maintained Python ETL, and ensured data quality within the team • Supported senior team members to design workflow and decomposed high-level business questions into detailed data requirements to significantly increase team productivity• Communicated analyses clearly and efficiently with stakeholders

• Led multiple projects on building automated reports and dashboards to provide up-to-date key business metrics to internal stakeholders• Built front-end metrics, reports and dashboards for data visualization and implemented back-end LDM (logical data model) and ETL (extract transform and load) graphs in GoodData• Developed ETL using Python and Shell to collect data • Migrated data visualizations from GoodData to Tableau, including rewriting ETLs from GoodData's native tool to Python