Daphne Liu, Data Modeling Developer in Jacksonville, FL, United States
Daphne Liu

Data Modeling Developer in Jacksonville, FL, United States

Member since June 18, 2020
Daphne is a highly motivated big data analytic architect and SQL/Tableau developer with strong business analytic solution delivery skills and 20 years of progressively responsible OLTP/OLAP database development/architecture experience. She is a frequent seminar speaker and workshop trainer in business intelligence and analytic solutions. Daphne is experienced collaborating with business users in data modeling and business analytic solutions.
Daphne is now available for hire




Jacksonville, FL, United States



Preferred Environment

Amazon Web Services (AWS), Azure, Google Cloud, Big Data, Linux, SQL

The most amazing...

...thing about me is that I am a data prodigy. I am an expert in SQL development, data modeling, data warehouse development, data analytics, and visualization.


  • Big Data ML AI Architect

    2014 - PRESENT
    CEVA Logistics
    • Created a dimensional data model on MS SQL Server for supply chain analytics. It includes data preparation and data labeling, model features' selection, model algorithms, and hyperparameter optimization.
    • Designed an enterprise big data analytic platform solution using Pentaho PDI, Cassandra, Elasticsearch, and Grafana. Grafana is a big data visualization tool.
    • Provided data engineering tasks that refresh data to cloud storage using MS SQL Server, relational OLTP to OLAP transformation, and ETL tasks from MS SQL to NoSQL data lakes in Cassandra.
    • Implemented both Tableau and Power BI analytic visualization for supply chain management and a freight management system.
    • Implemented and completed data modeling of an enterprise data warehouse, data lakes, and ML/AI forecast models.
    • Used Facebook Prophet, a time series algorithms, AutoKeras classification, and Google TensorFlow to deliver an ML and AI solution to a logistics ground TMS system.
    • Delivered dashboards using both Tableau and Power BI for different clients/projects.
    • Delivered a data quality solution using PostgreSQL fuzzy string matching and Python FuzzyWuzzy libraries, cleaning data, and creating mapping groups for the machine learning model.
    • Designed and architected a supply chain carrier advisor ML solution that includes data labeling, features' selection, hyperparameter optimization, algorithms training, and carrier selection smart choices advisory to the supply chain management team.
    • Deployed the supply chain carrier advisor ML model based on TensorFlow TF-Ranking, AutoKeras, and Neural Network algorithms. Over a million records were trained in this model, providing a training result API and batch forecast result references.
    Technologies: Neural Networks, Performance Tuning, Time Series Analysis, Time Series, AutoKeras, Pandas, Python, Model Training, Feature Selection, Data, Machine Learning, Data Architecture, OLAP, NoSQL, SQL, PostgreSQL, Microsoft SQL Server, Tableau, Hortonworks Data Platform (HDP), Grafana, Elasticsearch, Cassandra, Pentaho, Data Analysis, Big Data, Snowflake, Microsoft Excel, Amazon S3 (AWS S3), Database Design, Database Schema Design, Business Intelligence (BI), Integration, Amazon QuickSight
  • BI Architect

    2013 - 2015
    City of Jacksonville
    • Architected Microsoft Business Intelligence Solutions using SQL Server, SSIS, and SSAS.
    • Built SSAS Cube and MDX.
    • Developed SSIS and designed a data warehouse.
    • Designed and developed a Microsoft Power BI Solution.
    Technologies: MDX, Microsoft SQL Server, SQL Server Integration Services (SSIS), SSAS, Microsoft Power BI, Microsoft Excel, Amazon S3 (AWS S3), Database Design, Database Schema Design, Reporting, Business Intelligence (BI), Integration
  • BI Architect

    2012 - 2013
    Crowley Marinetime
    • Built a Microsoft Business Intelligence Solution SSAS Cube for budget and actual.
    • Implemented an SSIS ETL from Oracle and DB2.
    • Created a TSQL for Crowley Vessel Captain log dimensional data model.
    • Developed an SSRS report.
    • Implemented SVN source version control.
    Technologies: Subversion (SVN), SSRS, T-SQL, IBM Db2, Oracle, SQL Server Integration Services (SSIS), SSAS, Microsoft Power BI, Microsoft Excel, Database Design, Database Schema Design, Reporting, Business Intelligence (BI), Integration


  • Tableau Dashboard Development

    Tableau dashboard design for a supply chain carrier KPI, financial management KPI (AP vs AR), and shipment on time performance. Implemented Tableau actions, KPI calculated columns, LOD calculations, dynamic slicers, and performance tuning.

  • Big Data Cassandra & Solr Document Search

    Solr cloud free text search engine design for vendor EDI documents using Solr data import module with Cassandra cluster data stored. A Hadoop HDFS file system was implemented for Solr document index storage. Six Solr collections with shards and replicas. Deployed in March 2016

  • Big Data Cassandra & Elasticsearch Data Warehouse

    Big Data NoSQL Cassandra and Elasticsearch cluster solution design and implementation. Elasticsearch search engine was built on top of Cassandra cluster, Using Pentaho PDI ETL tool moving data from relational databases to Cassandra NoSQL clusters for enterprise data warehouse. Started in 2017 and deployed in July 2018.

  • Dimensional Data Model for Supply Chain Management and Financial Management

    SCM and FM Dimensional models built on top of current SQL server data store. These models provide internal or external customers data sources for business analytics. The solution was developed in TSQL, SSIS, and SQL server 2016.

  • Supply Chain Carrier Advisor — Machine Learning Model

    Carrier Advisor is a machine learning project that advises carriers for operators in a supply chain management system.
    I built the AI and ML model from OLAP by labeling data, selecting features and algorithms, POC using AutoML algorithms, and performed the final production deployment using AutoKeras and TensorFlow TF-Ranking. Data was transformed from OLAP to prediction models using Python and Pentaho PDI.


  • Languages

    Python, T-SQL, SQL, Snowflake, Python 3, MDX
  • Libraries/APIs

    Pandas, TensorFlow Deep Learning Library (TFLearn)
  • Tools

    AutoML, Tableau, Grafana, Pentaho Data Integration (Kettle), Microsoft Excel, Amazon QuickSight, H2O AutoML, Apache Solr, Prophet ERP, Solr, Superset, Microsoft Power BI, SSAS, SSRS, Subversion (SVN)
  • Paradigms

    OLAP, Database Design, Business Intelligence (BI), Data Science
  • Platforms

    Dataiku, Linux, Amazon EC2, Azure, SolrCloud, Apache Kafka, Pentaho, Hortonworks Data Platform (HDP), Oracle, Amazon Web Services (AWS)
  • Storage

    Microsoft SQL Server, OLTP, NoSQL, Elasticsearch, Amazon S3 (AWS S3), Redshift, Google Cloud, Cassandra, Druid.io, SQL Server Integration Services (SSIS), IBM Db2, PostgreSQL
  • Other

    Data Analysis, Apache Cassandra, Big Data Architecture, Data Virtualization, Data Warehouse Design, Data Modeling, Data Architecture, Big Data, Forecasting, Time Series, AWS Database Migration Service, Database Schema Design, Integration, Data Engineering, Informatica, Artificial Intelligence (AI), Classification Algorithms, ARIMA Models, Machine Learning, Neural Networks, Agile Data Science, Linear Regression, Logistic Regression, Reporting, Feature Selection, Model Training, AutoKeras, Performance Tuning, Classification, Data, Time Series Analysis
  • Frameworks

    Hadoop, AWS HA


  • Master's Degree in Computer Information Science & Engineering
    1993 - 1995
    University of Florida - Florida


  • Tableau
    MARCH 2014 - MARCH 2016

To view more profiles

Join Toptal
Share it with others