Software Engineer Resume – Saigon Technology

Summary

I’m an accomplished Senior Data Engineer with 10.5 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

Fintech Data Streaming - United Kingdom

Senior Data Engineer, 04/2023 - Present

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

Databricks Certified Data Engineer Associate, 2021

English: Advanced

IELTS 8.0

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