Summary

I’m an accomplished Senior Data Engineer with 10+ years of experience, dedicated to crafting data infrastructures for fintech, healthcare, and manufacturing industries. Proficient in Apache Kafka, Databricks, and Azure, I lead end-to-end data pipeline projects with a focus on scalability and reliability. I thrive on solving complex data problems, guiding teams, and ensuring seamless integration with business needs across global markets.

Technical proficiencies

Programming Languages: Python, SQL, Java

Skills:

  • Data Engineering: Apache Kafka, Databricks, ETL/ELT Development
  • Databases: Oracle, SQL Server, Cassandra
  • Data Processing: PySpark, Dask, Apache NiFi
  • Cloud Platforms: Azure (Data Factory, Databricks), AWS (S3, EMR)
  • Others: Stream Processing, Data Governance, System Architecture

Tools: Docker, Kubernetes, Git, Terraform, Airflow.

Professional experience

AI-Powered Smart Energy Data Platform – Singapore

Senior Data Engineer, Feb 2026 - Present

Project description 

  • Built a scalable data platform for processing IoT energy data and powering AI models for consumption forecasting, anomaly detection, and predictive maintenance.

Responsibilities 

  • Designed real-time Kafka streaming pipelines to ingest high-volume IoT sensor and energy consumption data.
  • Built scalable PySpark pipelines on Databricks for data transformation, feature engineering, and ML data preparation.
  • Developed batch and streaming ETL workflows using Azure Data Factory and Azure Data Lake.
  • Prepared feature datasets for machine learning models used for energy demand forecasting and anomaly detection.
  • Implemented data quality, monitoring, and governance processes to ensure reliable AI-ready datasets.
  • Optimized Spark jobs and data pipelines to improve processing performance and support near real-time analytics.
  • Collaborated with data scientists to productionize ML pipelines and ensure reliable model data delivery.

Technologies 

  • Apache Kafka, Azure Databricks, PySpark, Python, Azure Data Factory, Azure Data Lake, SQL, ML Pipelines, Docker, Azure Monitor

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Fintech Data Streaming - United Kingdom

Senior Data Engineer, Apr 2023 - Jan 2026

Project description 

  • Led a data streaming platform for a fintech firm to process real-time transaction data across 15+ countries.

Responsibilities 

  • Designed Kafka-based streaming pipelines to handle 500K+ transactions daily, integrated with Azure Databricks.
  • Built ETL workflows using Azure Data Factory to transform data from Oracle into a data lake.
  • Collaborated with security teams to implement data governance policies on sensitive financial data.
  • Mentored three engineers on stream processing and cloud optimization techniques.
  • Monitored system performance with Azure Monitor, achieving 99.9% data delivery.
  • Worked with product managers to align data outputs with regulatory reporting needs.

Technologies 

  • Apache Kafka, Azure Databricks, Python, SQL, Oracle, Azure Data Factory, PySpark

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Healthcare Data Warehouse - France

Senior Data Engineer, 07/2019 - 03/2023

Project description 

  • Oversaw the construction of a data warehouse to unify patient and operational data for a French healthcare provider.  

Responsibilities 

  • Developed PySpark jobs on Databricks to process and load data from SQL Server into Azure Data Lake.
  • Designed data models to support clinical analytics, improving query efficiency by 20%.
  • Automated data ingestion with Apache NiFi, reducing manual tasks by 35%.
  • Led a team of two engineers in troubleshooting and scaling the warehouse.
  • Integrated real-time data feeds using Kafka, enhancing reporting capabilities.
  • Documented architecture for compliance audits and team training.

Technologies 

  • Databricks, PySpark, Apache NiFi, Apache Kafka, SQL, SQL Server, Azure Data Lake

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Manufacturing Data Pipeline - Mexico

Data Engineer, 03/2017 - 06/2019

Project description 

  • Supported a manufacturing firm with data pipelines for production and supply chain analytics.  

Responsibilities

  • Built Python scripts to process production data and load it into Cassandra.
  • Assisted in setting up initial ETL processes for daily reports.
  • Collaborated with analysts to refine data schemas.
  • Maintained pipeline documentation for team use.

Technologies

  • Python, SQL, Cassandra

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Retail Data Optimization - Spain

Data Engineer, 09/2015 - 02/2017

Project description 

  • Optimized data flows for a retail chain to support inventory and sales forecasting.  

Responsibilities

  • Developed Java-based ETL scripts to process sales data.
  • Integrated data into SQL Server for analysis.
  • Worked with IT to ensure data consistency.

Technologies

  • Java, SQL, SQL Server
Certifications

Certifications:

  • Microsoft Certified: Azure Solutions Architect Expert, 2022
  • AWS Certified Solutions Architect – Professional, 2023
  • English: Advanced - IELTS 7.5
  • Major: Computer Science, Ho Chi Minh City University of Technology, 2024

Awards:

  • Honored as Senior Data Engineer of the Year, 2024 
  • Invited Onsite by Client, March 2022 – November 2022
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