Software Engineer Resume – Saigon Technology

Summary

I am a proactive Middle Data Engineer with 5 years of experience, specializing in building robust data pipelines for healthcare, retail, logistics, and travel industries. Proficient in Apache Airflow, Azure Data Factory, and Python, I create efficient data infrastructures that support business growth. I enjoy working with engineering teams to troubleshoot issues and enhance data flow, delivering reliable solutions under tight deadlines.

Technical proficiencies

Programming Languages: Python, SQL

Skills:

Data Engineering: Apache Airflow, Azure Data Factory, ETL Development

Databases: MySQL, PostgreSQL, MongoDB

Data Processing: Pandas, PySpark

Cloud Platforms: Azure (Data Lake, Databricks), AWS (S3)

Others: Data Pipeline Automation, Performance Tuning, Team Collaboration

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

Professional experience

Retail Data Pipeline Project - Korea

Data Engineer, Aug 2023 - Present

Project description 

Engineered data pipelines for a retail platform to process customer transaction and inventory data in real time.

Highlights

Recognized as Top Data Engineer of the Quarter, Q3 2024, for resolving critical pipeline issues

Responsibilities 

Developed ETL workflows using Apache Airflow to move data from SQL Server to Azure Data Lake.

Optimized data processing with Azure Databricks, reducing batch job runtime by 20%.

Collaborated with analysts to design data schemas for inventory forecasting.

Implemented automated monitoring with Azure Monitor to ensure pipeline reliability.

Resolved data ingestion bottlenecks, improving data availability by 15%.

Documented processes to facilitate knowledge sharing within the team.

Technologies 

Apache Airflow, Azure Data Factory, Python, SQL, SQL Server, Azure Data Lake, Azure Databricks, PySpark

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Healthcare Data Workflow Project - Canada

Data Engineer, Jun 2022 – Jul 2023

Project description 

Designed data workflows to integrate patient data across multiple healthcare systems.

Responsibilities 

Built ETL pipelines using Azure Data Factory to consolidate data into MongoDB.

Used Python (Pandas) to transform and validate patient records for compliance.

Worked with IT teams to deploy pipelines on Azure, ensuring 99% data accuracy.

Optimized query performance, reducing report generation time by 10%.

Supported data scientists with data extracts for research purposes.

Technologies 

Azure Data Factory, Python, SQL, MongoDB, Azure, Pandas

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Travel Data Processing Project - Thailand

Data Engineer, Mar 2021 - May 2022

Project description 

Supported a travel company with data processing for booking and customer analytics.

Responsibilities

Developed Python scripts to process booking data from SQL Server.

Designed data pipelines to integrate data into Azure Data Lake.

Assisted in optimizing data storage for analytics.

Documented pipeline processes for team use.

Technologies

Python, SQL, SQL Server, Azure Data Lake

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Logistics Data Optimization Project - India

Data Engineer, Jan 2020 - Feb 2021

Project description 

Optimized data processing for a logistics company to support route planning.

Responsibilities

Developed Python scripts to process route data.

Integrated data into SQL Server for analysis.

Assisted in testing data pipeline stability.

Technologies

Python, SQL, SQL Server

Certifications

Python for Data Science and Machine Learning Bootcamp, 2022

English: Advanced

IELTS 6.0

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

Navigating Our Cooperation Models

How to Hire Top Developers from Saigon Technology?

1. Submit Initial Request

2. Candidate Resume Screening

3. Coordinate Interview Schedule

4. Conduct Interviews

5. Prepare a Service Level Agreement (SLA)

6. Initiate Onboarding Process