With nearly five years of experience in the data profession, I specialize in financial services, particularly payment solutions. My expertise encompasses a broad range of data analytics tools, databases, and workflow management tools. I have a proven track record of improving business-driven decisions through analytical thinking and supporting tech teams in enhancing analytic system performance.

Programming Languages: Python, Javascript. 

Skills: 

• C#, JavaScript, .NET framework for application development 

• Coding for data analysis: Python 

• Data warehouses, databases, and data lakehouses proficient: Google BigQuery, ClickHouse, Azure Synapse, SSMS, Postgres, MySQL, Oracle, Azure Databricks, and Apache Iceberg 

• Experienced with Airflow (workflow management) 

• Knowledge and proficiency in visualization: PowerBI, Tableau, Superset, eChart.js, d3.js 

• Cloud services: Azure, AWS, GCP 

• Streaming platform & CDC: Kafka, Debezium, AWS DMS 

• Container Orchestration Platform: Docker, K8S 

Tools: Google BigQuery, ClickHouse, Azure Synapse, Amazon Redshift, Airflow, PowerBI, Tableau, Superset. 

Digital e-wallet Payment - Singapore 

Senior Data Analyst, March 2023 – Present 

Project description 

• Working on a team of 5 members. 

• Automated manual processes. 

• Handled ad-hoc requests from stakeholders. 

• Collaborated with partners to perform data governance on Data Lake 

• Improved performance and optimized existing functions, reports, and dashboards. 

• Implemented data lakehouse on S3. 

Responsibilities 

• Working with stakeholders to identify needs and key metrics to build reports and dashboards on PowerBI. Also handled ad-hoc requests from both internal and external stakeholders. 

• Designed a streaming data pipeline and implemented it on AWS cloud. 

• Collaborating with partners and BOD on a weekly basis to perform data governance on S3 Data Lake. 

• Investigated and resolved data quality issues. 

• Monitoring and validating data quality. 

• Lead the BI team to deliver requests on time and with high quality. 

• Collaborated with DevOps to develop and deploy necessary services on cloud platform (AWS) for the new data platform. 

• Assist team members in migrating existing dashboard from Tableau to PowerBI. 

• Designed a new template for PowerBI dashboard. 

  Technologies 

• Workflow management: Airflow 

• Databases: Postgres, MySQL, Oracle 

• Data lake: AWS S3 

• Data lakehouse: Iceberg, AWS Glue 

• Streaming platform & CDC: Kafka, AWS DMS 

• Visualization: PowerBI, Tableau 

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Real Estate Holdings– United States 

Data Consultant - Analyst and Engineer, June 2022 – December 2022

Project description 

• Lead a team of 4+ people working on a wide range of scopes: PowerBI/ Apps / Automate, Custom Dashboarding, Data Warehouses, ETL/ELT pipelines 

• Advised and suggested solutions; also delivered and translated stakeholders needs into technical solutions for team members

Responsibilities 

• Worked with different departments to understand their problems and design a suitable data platform. Identify business needs and key metrics to create appropriate reports and dashboards on PowerBI 

• Handled communication between business units and teammates, transferred business requirements to technical specifications 

• Get feedback to improve products and assist teammates in delivering the products on time with high quality. 

• Designed a suitable data platform on Azure Cloud. 

• Investigated & resolved data quality issues along with improving PowerBI dashboard performance  

• Monitored and maintained the data system. 

  Technologies 

• Visualization tools: PowerBI 

• Cloud services: Azure 

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SME Business – Vietnam  

Data Analytics Consultant, May 2022 – June 2023 

Project description 

• Work in a team of 4+ people. 

• Advised on transitioning from Excel to scalable data architecture on AWS platform and business intelligence tools. 

• Designed and built ETL pipelines on cloud services to migrate data from production database and ERP database to data lake and data warehouse 

Responsibilities

• Worked with different departments to collect key metrics and migrate existing Excel reports to PowerBI. 

• Designed data architecture on AWS Cloud 

• Created ETL pipelines and alert functions to monitor the platform. 

• Investigated and resolved data quality issues. 

• Conducted training sessions for different departments on how to maintain and utilize the data platform and business intelligence tools. 

• Collaborated with DevOps to setup and deploy services on AWS Cloud. 

Technologies

• Visualization tools: PowerBI 

• Cloud services: AWS 

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Banking - VietNam 

Data Engineer, April 2022 – July 2023

Responsibilities

• Managed data warehouse, including monitoring, and maintaining pipelines and flow triggers for existing ETL jobs 

• Optimized ETL or ELT jobs and assisted other departments to fix errors or develop new features. Evaluated, determined root causes, and resolved production issues. 

• Build new ETL pipelines with different ETL tools 

• Work with different departments to adjust the extract method, transform and load data. Support other departments to give appropriate solutions to deliver coordinated software solutions 

  Technologies 

• Database: Oracle 

• Workflow management: IBM Datastage 

• Streaming Tools: Oracle Golden Gate 

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Real Estate Company – United States

Data Engineer, April 2021 – March 2022 

Responsibilities

• Optimized SQL queries to achieve shortest data extraction, created SP, triggered for data validation, and ensured data availability. 

• Automated manual work to achieve high efficiency, such as data reconciliation and data availability alerts to users. 

• Created ETL pipelines to extract data from multiple sources into one central data warehouse. 

Technologies

• Database: MSSQL 

• Workflow management: Azure Data Factory 

• Data warehouse: Azure Synapse 

IBM Data Engineering Specialization 

Google Advanced Data Analytics Specialization 

Google Data Analytics Specialization