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I am a Senior Data Engineer with 6+ years of experience designing cloud-native data pipelines, integrating complex systems, and enabling real-time analytics across healthcare, finance, and enterprise platforms. I have hands-on experience migrating on-prem data to cloud data warehouses and building scalable architectures that offload analytics from legacy systems. My background in machine learning research and applied data science fuels my work developing classification algorithms and ML-driven use cases. I enjoy collaborating with cross-functional teams to deliver secure, interoperable solutions, including FHIR-compliant APIs for healthcare data reconciliation.…I am a Senior Data Engineer with 6+ years of experience designing cloud-native data pipelines, integrating complex systems, and enabling real-time analytics across healthcare, finance, and enterprise platforms. I have hands-on experience migrating on-prem data to cloud data warehouses and building scalable architectures that offload analytics from legacy systems. My background in machine learning research and applied data science fuels my work developing classification algorithms and ML-driven use cases. I enjoy collaborating with cross-functional teams to deliver secure, interoperable solutions, including FHIR-compliant APIs for healthcare data reconciliation.

Nguyen Lang

Data Scientist, Full Stack Developer, Developer, +2

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I am a Senior Data Engineer with 6+ years of experience designing cloud-native data pipelines, integrating complex systems, and enabling real-time analytics across healthcare, finance, and enterprise platforms. I have hands-on experience migrating on-prem data to cloud data warehouses and building scalable architectures that offload analytics from legacy systems. My background in machine learning research and applied data science fuels my work developing classification algorithms and ML-driven use cases. I enjoy collaborating with cross-functional teams to deliver secure, interoperable solutions, including FHIR-compliant APIs for healthcare data reconciliation.…I am a Senior Data Engineer with 6+ years of experience designing cloud-native data pipelines, integrating complex systems, and enabling real-time analytics across healthcare, finance, and enterprise platforms. I have hands-on experience migrating on-prem data to cloud data warehouses and building scalable architectures that offload analytics from legacy systems. My background in machine learning research and applied data science fuels my work developing classification algorithms and ML-driven use cases. I enjoy collaborating with cross-functional teams to deliver secure, interoperable solutions, including FHIR-compliant APIs for healthcare data reconciliation.

Available to hire

I am a Senior Data Engineer with 6+ years of experience designing cloud-native data pipelines, integrating complex systems, and enabling real-time analytics across healthcare, finance, and enterprise platforms. I have hands-on experience migrating on-prem data to cloud data warehouses and building scalable architectures that offload analytics from legacy systems.

My background in machine learning research and applied data science fuels my work developing classification algorithms and ML-driven use cases. I enjoy collaborating with cross-functional teams to deliver secure, interoperable solutions, including FHIR-compliant APIs for healthcare data reconciliation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Engineering Specialist - Lead at Greenshield Canada

December 1, 2022 - Present

Led the design and implementation of end-to-end data pipelines using Apache Airflow and GCP Composer to migrate and transform on-prem data into Google BigQuery, enabling near real-time analytics and driving a 300% increase in customer conversion rates. Built scalable infrastructure to integrate data from Oracle (on-prem) and PostgreSQL (AWS, Azure) into BigQuery, fully offloading analytics from legacy systems. Delivered automated access provisioning and near real-time data availability for cross-functional teams (Finance, Analytics) with high accuracy and reliability, reducing operational friction. Developed secure, FHIR-compliant APIs to support healthcare data reconciliation, enabling interoperability between modern systems and legacy EMRs and reducing reliance on document-centric workflows. Reconciled data is obtained via CDC events delivered through Google Pub/Sub and persisted in the Spanner database.

Software Developer at IBM Canada

June 1, 2021 - December 1, 2022

Engineered a scalable ELT pipeline using Apache Airflow for a Canadian banking client to support fraud detection modeling. Wrote and integrated APIs using Python, automated software development with Bash, and configured DEV/TEST environments. Designed secure infrastructure patterns aligned with client needs and evolving business requirements. Conducted code reviews across multiple languages and mentored new developers and QA engineers to onboard into a fast-paced Agile environment.

Software Engineer at Marimetrics Technologies Inc.

May 1, 2020 - December 1, 2020

Developed real-time monitoring applications for oceanographic sensors, leveraging Matlab and Python to process continuous sensory data. Built an automatic platform acting as an overseer that analyzes periodically acquired sensory data 24/7 using Matlab. Used AWS S3 for data ingestion and retrieval; applied clustering and data mining to detect early signs of pathogen spread in aquaculture systems.

Data Science Intern at DeepSense

May 1, 2020 - September 1, 2020

Enhanced the scalability of data infrastructure for a startup accelerator by designing a flexible, modular database to support new data sources and analytical tools.

Graduate Research Assistant at Dalhousie University

September 1, 2018 - May 1, 2020

Developed algorithms to enhance text classification performance, feature selection analyzing on social network datasets. The model increases up to 10% classification accuracy compared to some state-of-the-art models. Performed feature analysis on encrypted data, investigated what kind of features we can analyze on encrypted texts without decryption.