Summary

I am a dedicated Middle Data Engineer with over 5 years of experience, focused on designing and implementing data pipelines to support business intelligence across e-commerce, healthcare, logistics, and financial services sectors. Skilled in Apache Airflow, Spark, and AWS, I build scalable data solutions that enhance data accessibility and reliability. I thrive in collaborative environments, working with cross-functional teams to optimize data workflows and deliver actionable data infrastructure.

Technical proficiencies

Programming Languages: Python, SQL

Skills:

  • Data Engineering: Apache Airflow, Apache Spark, ETL Development
  • Databases: MySQL, PostgreSQL, MongoDB
  • Data Processing: Pandas, PySpark
  • Cloud Platforms: AWS (Redshift, S3, Glue), Google Cloud Platform
  • Others: Data Pipeline Optimization, Cloud Integration, Schema Design

Tools: Docker, Kubernetes, Git, Jenkins, Visual Studio Code.

Professional experience

E-commerce Data Pipeline Project - Japan  

Data Engineer, 07/2023 - Present  

Project description 

  • Developed and maintained data pipelines for an e-commerce platform to process real-time sales and inventory data.

Responsibilities 

  • Designed and implemented ETL pipelines using Apache Airflow to ingest data from MySQL into AWS Redshift.
  • Optimized data processing workflows with Apache Spark, reducing latency by 30% for daily reports.
  • Collaborated with data analysts to ensure data quality and schema consistency across pipelines.
  • Integrated AWS Glue for automated data cataloging and transformation.
  • Monitored pipeline performance using CloudWatch, resolving issues to maintain 99.9% uptime.
  • Documented pipeline architecture to support team onboarding and future scaling.

Technologies 

  • Apache Airflow, Apache Spark, Python, SQL, MySQL, AWS Redshift, AWS Glue, PySpark

Healthcare Data Integration Project - United States

Data Engineer, 05/2022 - 06/2023

Project description 

  • Built data integration solutions to consolidate patient records and operational data for a U.S. healthcare provider.  

Responsibilities 

  • Constructed ETL processes using Python and Apache Spark to transform data from PostgreSQL to AWS S3.
  • Worked with healthcare teams to design data models for patient outcome analysis.
  • Implemented data validation checks to ensure 100% data integrity during migration.
  • Deployed pipelines on AWS Glue, improving data availability for reporting by 25%.
  • Assisted in troubleshooting pipeline failures, reducing downtime by 15%.

Technologies 

  • Apache Spark, Python, SQL, PostgreSQL, AWS S3, AWS Glue, PySpark

Financial Services Data Workflow Project - Singapore

Data Engineer, 04/2021 - 04/2022

Project description 

  • Supported a financial services firm with data workflows for transaction processing and fraud detection.  

Responsibilities

  • Built ETL pipelines using Python to process transaction data from MongoDB.
  • Optimized data ingestion for real-time fraud detection systems.
  • Collaborated with analysts to ensure data accuracy for reporting.
  • Documented workflows for future reference.

Technologies

  • Python, SQL, MongoDB, AWS S3

Logistics Data Processing Project - Australia

Data Engineer 05/2020 - 03/2021

Project description 

  • Supported a logistics firm with data processing for shipment tracking and route optimization.  

Responsibilities

  • Built batch processing scripts using Python to handle shipment data.
  • Integrated data into MySQL databases for real-time tracking.
  • Collaborated with developers to optimize query performance.

Technologies

  • Python, SQL, MySQL
Certifications

AWS Certified Data Engineer - Associate, 2023

English: Advanced  

  • IELTS 6.5

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Navigating Our Cooperation Models

For when you have the roadmap and the process, but not the people. Tell us the skills and seniority you need, and we send shortlisted profiles. You interview; the engineer you choose joins your existing team and works under your management.

Ideal for businesses that:
Need specialized expertise without adding full-time headcount
Want to scale capacity up or down as the roadmap shifts
Need extra hands on an upcoming or in-flight project
For when you need a team that owns a product, not individuals filling gaps. You select the engineers from the profiles above; they work exclusively on your project alongside your in-house team, keeping context instead of rebuilding it every quarter.

Ideal for businesses that:
Run large or long-term projects that need consistent ownership
Want a stable team that accumulates domain knowledge
Need engineers committed to the business goal, not just the ticket
For when scope and timeline are already settled and budget certainty matters more than flexibility. We define the delivery path up front, so the cost is known before work starts.

Ideal for businesses that:
Have a set budget and a clearly documented scope
Work to a hard deadline
Run projects with defined goals and achievable milestones
For when you want a permanent extension of your engineering organization in Vietnam, your process and your tooling, running on our infrastructure and hiring pipeline across three ISO-certified centers.

Ideal for businesses that:
Are building long-term engineering capacity, not staffing a single project
Want dedicated infrastructure and a managed hiring pipeline
Plan to grow the team steadily over several years
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