Lorna P

Database Management| Network Configuration and Management| Blockchain Technology| Database Analysis|

Richmond, Virginia, United States

About

Experience

  • Senior Technical Adviser at GoDaddy
    Jun 2018 - Present · 8 yrs 2 mos

    Performed big data analysis for product improvement to optimize key regional online travel agencies performance to support growth in North America and EMEA. • Provided competitive analytics and insights to improve low fare search performance and availability quality. Built and maintained interactive customer dashboards to monitor and report competitive metrics. • Provided critical customer consulting and sales support. Supported product and solution strategy, find tuning and improvement opportunities for Sabre shopping and availability products.

  • Data Engineer at 宝德科技集团股份有限公司
    Oct 2010 - Oct 2014 · 4 yrs 1 mo

    Analyze and define client’s strategy and determine system architecture and requirement to achieve goals. • Associated with creating Hive Tables, and loading and analyzing data using Hive Queries for reports. • Involved in converting Hive/SQL queries into Spark transformations using Spark RDD's. • Work with a variety of data formats such as JSON, Compressed CSV, Parquet etc. • Worked in AWS environment for development and deployment of custom Hadoop applications. • Strong experience in working with ELASTIC MAPREDUCE(EMR)and setting up environments on Amazon AWS EC2 instances. • Very good experience with version control. • Importing and exporting data into HDFS and HIVE using Spark and Scala. • Load and transform large sets of structured, semi structured and unstructured data. • Developed job flows to automate the workflow for the data to be loaded to AWS S3 buckets and hive. • Designed and Implemented Partitioning (Multi-level), Buckets in HIVE. • Loaded the aggregated data onto Amazon S3 Buckets from Hadoop environment for reporting on the dashboard. • Performed ETL operations such as transformations, event joins, filters both traffic and some pre-aggregations before storing the data onto cloud. • Good understanding of Partitions, Bucketing concepts in Hive and designed both Managed and External tables in Hive to optimize performance. • Responsible for the design and development of high performance, robust software using Scala • Developed different kinds of reports using large amounts of data that can be integrated with the app developed. • Expertise in writing the Scala/Python code using higher order functions for the iterative algorithms in spark for performance consideration. • Implemented Spark using Scala and utilizing Data frames and Spark SQL API for faster processing of data. • Worked in utilizing spark machine learning techniques implemented in Scala and Python.