Resume

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Ngoc Dung Bui

Staff Data Developer | AI & Cloud Architect

Montreal, Quebec, Canada • buind173@gmail.com • (438) 337-6578

Professional Summary

Staff-level Data & AI Engineer with 16+ years of software development experience, including 7+ years specialized in modern Cloud Data Architecture (Snowflake/AWS/Azure). Extensive background in enterprise system integration (SAP/Java), evolving into a focus on building scalable GenAI solutions and MLOps pipelines. Proven ability to lead technical initiatives, mentor teams, and bridge the gap between legacy enterprise data and modern AI-driven analytics.

Technical Skills

Cloud & Platforms

AWS, S3, EC2, Lambda, AWS Glue, Snowflake, Databricks, Azure, ADF, Event Hubs, ADLS

Data Engineering

dbt, MageAI, Apache Kafka, Spark, Terraform, Docker, Kubernetes, CI/CD, Jenkins, GitLab

AI & Machine Learning

Generative AI, LLMs, LLAMA-3, RAG, Vector Databases, pgvector, Streamlit, MLOps

Languages

Python, SQL, Java, SAP ABAP

Professional Experience

Senior Data Engineer

IBM (Client: Air Canada) • Montreal, Canada • March 2020 - Present

  • Architected a hybrid Data Lakehouse & EDW ecosystem to master increasing data complexity: leveraged Databricks on Azure ADLS (Medallion Architecture) for processing and Snowflake (Data Vault 2.0) as the central warehouse; streamlined 100TB+ of daily data, improving accuracy by 35% and reducing processing time by 23%.
  • Engineered an internal GenAI product: Built an AI-powered log analyzer using Streamlit and LLMs, which automated ETL troubleshooting and reduced log analysis time by 50%.
  • Orchestrated 3000+ ELT jobs across a hybrid ecosystem (Python, Talend, Databricks); led the critical migration of legacy logic from Teradata to Snowflake, utilizing clustering keys to reduce query execution time by 40%.
  • Implemented streaming pipelines using Azure Event Hubs (Kafka compatible) and Databricks, while defining cross-functional security protocols to ensure strict data compliance.

Principal Data Engineer

Fintech StartUp • Montreal, Canada • August 2024 - December 2024

  • Architected and delivered a cloud-native financial intelligence platform on AWS in a high-velocity startup environment; took the product from concept to MVP in under 5 months.
  • Orchestrated end-to-end ELT pipelines using MageAI and dbt; implemented modular SQL transformations and automated data quality testing to ensure reliable financial reporting.
  • Built real-time data ingestion systems using Apache Kafka to stream high-frequency stock market data, ensuring sub-second latency for investment signal processing.
  • Integrated Generative AI (LLAMA-3) with RAG workflows to analyze unstructured financial news, storing vector embeddings in PostgreSQL (pgvector) for semantic search.

Senior Fullstack Developer (DevOps & Integration)

The Boeing Company • Texas, USA • April 2018 - February 2020

  • Designed and deployed a centralized API Management solution on AWS, facilitating secure data exchange between global enterprise systems using Java and ReactJS.
  • Standardized data integration patterns for SAP Hybris; developed RESTful APIs and implemented a log analytics solution using the ELK Stack (Elasticsearch, Logstash, Kibana) to monitor API health and data traffic.
  • Led DevOps transformation initiatives by building robust CI/CD pipelines using Jenkins and Ansible; automated infrastructure provisioning and code deployments, reducing release cycles.
  • Directed integration efforts between SAP/PI, API Gateway, and Salesforce; engineered XML schema definitions to ensure seamless customer data synchronization across diverse platforms.

Senior Application Developer

Panasonic Vietnam Co. • Hanoi, Vietnam • April 2013 - October 2017

  • Spearheaded enterprise data integration strategies using SAP ABAP; engineered robust data flows to ingest and synchronize diverse external sources into SAP systems.
  • Led complex troubleshooting and root cause analysis for critical data failures; implemented performance tuning resolutions that ensured system stability for business operations.
  • Partnered with business analysts and stakeholders to translate functional requirements into technical data specifications, ensuring RICEF objects aligned with business analytics needs.

Previous Experience: SAP Application Developer (Novellus), Java Developer (Pentalog)

Education

Master of Science - Artificial Intelligence & Machine Learning

John Moores University • Liverpool, UK • October 2025

Certifications

Snowflake Pro Core Certification

AWS Certified Data Analytics

Azure Data Engineer Associate

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