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I am a results-driven Senior Data Engineer and digital solutions specialist with 10+ years’ experience using automation to simplify messy real-world processes. I build LLM-powered workflows and agents in n8n (self-hosted and cloud), wiring together APIs, databases, and internal tools so things “just work” in the background. I have used n8n, Power Automate, and KNIME to automate documents, approvals, field data capture, and reporting, cutting out repetitive manual steps for teams. I design and run robust data pipelines using tools like Airflow, Snowflake, dbt, Azure ADF, and Databricks, making sure data for AI workflows is clean, reliable, and well-modeled. I enjoy working closely with stakeholders to map their processes, turn them into reliable automated workflows, and iterate quickly based on real feedback. I am looking to bring this combined automation and data engineering experience into an AI Engineer role, with a focus on practical, production-ready AI workflows.…I am a results-driven Senior Data Engineer and digital solutions specialist with 10+ years’ experience using automation to simplify messy real-world processes. I build LLM-powered workflows and agents in n8n (self-hosted and cloud), wiring together APIs, databases, and internal tools so things “just work” in the background. I have used n8n, Power Automate, and KNIME to automate documents, approvals, field data capture, and reporting, cutting out repetitive manual steps for teams. I design and run robust data pipelines using tools like Airflow, Snowflake, dbt, Azure ADF, and Databricks, making sure data for AI workflows is clean, reliable, and well-modeled. I enjoy working closely with stakeholders to map their processes, turn them into reliable automated workflows, and iterate quickly based on real feedback. I am looking to bring this combined automation and data engineering experience into an AI Engineer role, with a focus on practical, production-ready AI workflows.

Alex Ngo

App Developer, AI Developer, AI Engineer, +2

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I am a results-driven Senior Data Engineer and digital solutions specialist with 10+ years’ experience using automation to simplify messy real-world processes. I build LLM-powered workflows and agents in n8n (self-hosted and cloud), wiring together APIs, databases, and internal tools so things “just work” in the background. I have used n8n, Power Automate, and KNIME to automate documents, approvals, field data capture, and reporting, cutting out repetitive manual steps for teams. I design and run robust data pipelines using tools like Airflow, Snowflake, dbt, Azure ADF, and Databricks, making sure data for AI workflows is clean, reliable, and well-modeled. I enjoy working closely with stakeholders to map their processes, turn them into reliable automated workflows, and iterate quickly based on real feedback. I am looking to bring this combined automation and data engineering experience into an AI Engineer role, with a focus on practical, production-ready AI workflows.…I am a results-driven Senior Data Engineer and digital solutions specialist with 10+ years’ experience using automation to simplify messy real-world processes. I build LLM-powered workflows and agents in n8n (self-hosted and cloud), wiring together APIs, databases, and internal tools so things “just work” in the background. I have used n8n, Power Automate, and KNIME to automate documents, approvals, field data capture, and reporting, cutting out repetitive manual steps for teams. I design and run robust data pipelines using tools like Airflow, Snowflake, dbt, Azure ADF, and Databricks, making sure data for AI workflows is clean, reliable, and well-modeled. I enjoy working closely with stakeholders to map their processes, turn them into reliable automated workflows, and iterate quickly based on real feedback. I am looking to bring this combined automation and data engineering experience into an AI Engineer role, with a focus on practical, production-ready AI workflows.

Available to hire

I am a results-driven Senior Data Engineer and digital solutions specialist with 10+ years’ experience using automation to simplify messy real-world processes.

I build LLM-powered workflows and agents in n8n (self-hosted and cloud), wiring together APIs, databases, and internal tools so things “just work” in the background.

I have used n8n, Power Automate, and KNIME to automate documents, approvals, field data capture, and reporting, cutting out repetitive manual steps for teams.

I design and run robust data pipelines using tools like Airflow, Snowflake, dbt, Azure ADF, and Databricks, making sure data for AI workflows is clean, reliable, and well-modeled.

I enjoy working closely with stakeholders to map their processes, turn them into reliable automated workflows, and iterate quickly based on real feedback.

I am looking to bring this combined automation and data engineering experience into an AI Engineer role, with a focus on practical, production-ready AI workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Vietnamese

Fluent

Chinese

Intermediate

Spanish; Castilian

Beginner

Work Experience

Digital Solution Engineer at Endeavour Energy

July 1, 2025 - Present

Ingested, cleansed, and merged network and geospatial asset data with KNIME; implemented Spark jobs in Databricks to transform spatial asset hierarchies into load and condition forecasts and to run scenario simulations for risk-based planning, vegetation management, and storm response. Designed an end-to-end LiDAR process using KNIME, Esri Enterprise, and Python to generate scan maps and automatically capture metadata from route generation through to point-cloud processing.

Business Application Developer at Link Wentworth

July 1, 2023 - July 1, 2025

Built model-driven and canvas Power Apps with a SQL Server backend to streamline bill entry, tenant onboarding, and property record management. Developed and optimised complex T-SQL stored procedures for transformation, validation, and reporting across finance and property systems. Created end-to-end automations using Power Automate Cloud/Desktop and AI Builder for bill ingestion and service requests, integrating Python for PDF extraction and SQL Server loading. Containerised Python data-processing jobs with Docker to standardise deployments.

Data Scientist at Fuzzy LogX

August 1, 2020 - January 31, 2022

Built Python-based data pipelines to ingest and transform warehouse operations data (orders, inventory, pick paths, labour) using Pandas and SQL, feeding curated tables in SQL Server for downstream analytics. Developed optimisation and predictive models in Python to improve slotting, picking efficiency, and inventory placement, quantifying impacts on travel time, throughput, and utilisation. Implemented end-user analytics apps and dashboards with Streamlit and Power BI, exposing scenario simulations and operational KPIs; used MLflow for experiment tracking and model artifact management to support reproducible ML workflows.

Energy Trading Analyst at Origin Energy

January 1, 2020 - December 31, 2020

Analysed short-term gas and electricity market data to support daily portfolio and trading decisions, using Excel models and Power BI to track nominations, pricing, and East Coast supply-demand balance.

Field Data Engineer at Beach Energy

January 1, 2018 - December 31, 2020

Built Power BI dashboards for production surveillance and field performance, providing engineers near real-time views of volumes, deferments, and KPIs.

Reservoir Engineer at Repsol (Vietnam)

January 1, 2014 - December 31, 2015

Built and history-matched dynamic reservoir models in Eclipse to forecast production under multiple development scenarios; performed integrated production modelling with IPM tools (PROSPER, MBAL, GAP) and surface network models to identify bottlenecks and optimise well routing; delivered deterministic and probabilistic reserves cases for project sanction and portfolio evaluation.

Reservoir Engineer at Repsol (Vietnam)

January 1, 2017 - December 31, 2018

Continued reservoir modelling activities to forecast production for additional development scenarios and resource evaluation; refined reserves assessments and network optimization.

Geoscientist & Data Analyst at Repsol (Australia)

January 1, 2016 - December 31, 2017

Built subsurface maps in ArcGIS and QGIS by integrating well, seismic, and geological datasets; performed geoprocessing (buffer, clip, intersect, spatial join, raster analysis) to derive key structural layers; combined GIS outputs with Python workflows and IPM tools to link subsurface understanding with well and network models, improving prospect screening and well placement decisions.

Technical Assistant at Santos

January 1, 2011 - December 31, 2013

Built Excel/VBA tools to automate drilling and well data integrity checks, cleaned inputs, and consolidated high-volume datasets for engineers’ analysis and reporting. Automated field data capture and reporting workflows, reducing manual effort and cycle time for daily production reports by around 30%.

Data Platform & AI Automation at Independent Consultant

January 1, 2026 - Present

Project: Media Intelligence & Autonomous RAG Pipeline Overview: Architected a self-hosted platform for an educational YouTube channel. The system automates the full data lifecycle from multi-source ingestion (YouTube, Web, PDF) to AI-driven fact-checking and programmatic video rendering using a Modern Data Stack to ensure high factual accuracy and scalability. I used Cursor for AI-assisted development and Antigravity to implement custom Agent Skills Stack: Oracle Cloud (OCI), Docker, n8n, Dagster, PostgreSQL, Ollama (AI), Tavily (Search), ComfyUI, Remotion ● Multi-Source Data Ingestion: Engineered automated pipelines using n8n and Python to ingest YouTube transcripts, web scrapes, and curated PDFs into a PostgreSQL (pgvector) database, establishing a high-quality "Source of Truth" for AI synthesis. ● Agentic RAG & Fact-Verification: Developed an advanced Retrieval-Augmented Generation (RAG) workflow. The system utilizes self-hosted Ollama for cost-effective local embeddings and keyword search, falling back to Tavily/Serper for live web-augmentation to eliminate AI hallucinations. ● Hybrid Cloud Orchestration: Implemented a robust dual-layer orchestration strategy: n8n for 24/7 cloud-based scraping and ingestion, paired with Dagster for local, asset-oriented processing and complex video rendering workflows. ● Programmatic Media Synthesis: Integrated Remotion to "render" final video assets via TypeScript-as-Code and ComfyUI for node-based image generation, replacing traditional manual editing with a fully automated, scalable production line. ● Infrastructure & DevOps: Managed a private, containerized ecosystem on Oracle Cloud (OCI) using Docker and Nginx reverse-proxy, optimizing for high operational health, low latency, and zero-cost scaling.