Hello, I'm

Geeheh Shin

She/Her

Software Engineer @ NAB

Technical lead–oriented SRE and software engineer specializing in platform reliability, observability, and cloud systems across AWS, Azure, and Snowflake. Proficient in SQL and Python, I lead cross-functional delivery, standardize monitoring and alerting, and build resilient architectures while mentoring teams and scaling best practices.

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About

I'm a technical leader and experienced SRE and software engineer with broad expertise across platform reliability, observability, and data systems, including scalable ETL pipelines and end-to-end cloud data warehousing on Snowflake, Azure, and AWS. Proficient in SQL and Python, I lead cross-functional delivery and stakeholder management to ship reliable, automated solutions while driving operational monitoring migrations, standardizing alerting and dashboarding, and scaling service health availability monitoring through templates that simplify delivery and upskill engineers.

I'm an active mentor across the business, well-versed in DevOps practices, and fluent in building resilient architectures. I'm an enthusiastic, proactive learner with a track record of growing expertise in API/ML integration and LLM use.

Skills

Languages

SQL
Python
Java
Swift

Cloud & Data

AWS
Azure
GCP
Snowflake · dbt
Data Warehousing (EDW)

DevOps & Platforms

Kubernetes
Docker
Terraform · CloudFormation
Jenkins · Harness

Observability & Reliability

Splunk · CloudWatch
OpenSearch
Wiz
Incident Management
Site Reliability Engineering

Leadership

Cross-functional Leadership
Stakeholder Management
Mentorship
DevOps & Patch Management

Experience

Analyst Engineer (SRE)

NAB · Full-time

Apr 2025 – Present · Melbourne, VIC, Australia · Hybrid

Leading core migration of an operational monitoring platform to support cost optimisation and service health availability monitoring
Scaled monitoring templates to simplify solutions, expedite delegation across domains, and upskill 40+ engineers
Owned schema documentation for the observability platform and standardized alerting and dashboarding
Drove stakeholder management for a domain-wide migration and facilitated quarterly planning for business model insights
Provided primary and secondary on-call support during migration to meet SLA standards and resolve critical incidents
Led the uplift of a business-critical real-time SLA reporting dashboard to track multi-brand subsidiary performance metrics, aligning with ACCC and internal governance standards
End-to-end ownership with cross-functional leadership across teams, domains, and executives; documentation to speed onboarding, reduce silos, and centralize actionable frameworks at scale
Uplifted and optimized a tagging automation script to improve cost optimization, meet SLA requirements, reduce engineering toil, and support compliance thresholds
Active mentor bridging data engineering and operations to deliver observable, resilient, business-aligned architectures and accelerate onboarding across levels

Cloud Data Engineer

Ignite Data Solutions · Project-based

Jan 2025 – Feb 2025 · Melbourne, VIC, Australia

Created technical documentation for non-technical stakeholders to leverage cloud-based data solutions and ensure data governance compliance
Developed data-driven sales performance analysis tool for strategic decision-making and revenue optimisation
Provided documentation and training materials for seamless adoption of analytical tools across teams

Data Engineer

Spark New Zealand · Full-time

Jul 2023 – Oct 2024 · Auckland, New Zealand · Hybrid

Led cloud migration projects from EDW to Snowflake in Product Data (Analytics & Insights) squad
Optimized pipelines with ADF, Azure Logic Apps, SQL, and Python in line with CAPEX strategy
Developed automated ETL workflows, stakeholder reports, and ensured CI/CD compliance
Mentored team members on Azure cloud technologies; led onboarding with AWS and Azure certifications

AI/Engineering Intern

Spark New Zealand · Full-time

May 2023 – Jun 2023 · Auckland, New Zealand · Hybrid

Completed Data Accelerator Programme: SQL, Azure, Python (Pandas, Matplotlib), Power BI, DAX, Git
Gained foundation in Data Warehousing, Analytics, Data Engineering, and Data Science
Team project analyzing Spark acquisition/churn data; presented findings at program hackathon

Certifications

AWS Certified Developer – Associate badge — AWS Certified Developer – Associate

AWS Certified Solutions Architect – Associate badge — AWS Certified Solutions Architect – Associate

AWS Cloud Practitioner badge — AWS Cloud Practitioner

Databricks Certified Data Engineer Associate badge — Databricks Certified Data Engineer Associate

Microsoft Certified: Azure Fundamentals badge — Microsoft Certified: Azure Fundamentals

dbt Fundamentals badge — dbt Fundamentals

Google Cloud Fundamentals: Core Infrastructure badge — Google Cloud Fundamentals: Core Infrastructure

Snowflake Hands On Essentials – Data Warehouse badge — Snowflake Hands On Essentials – Data Warehouse

Projects

📱

Log'it

Fitness-tracking iOS app built in Swift with AWS Textract (NLP) and OpenAI API for workout imports. Real-time form correction using AVCamera, CoreML, and PoseNet. Swipe/tap features for weight adjustments. Feedback from gym stakeholders refined UX.

Swift · AWS · OpenAI · CoreML · Xcode

📄

Automated PDF Summarization & Emailing (AWS)

Serverless workflow: extract text from S3 PDFs, generate summaries via AWS Bedrock (Claude), email results via SES. Lambda + Textract for async processing. AWS Glue for data automation. Follows Well-Architected Framework.

Lambda · Bedrock · S3 · SES · Glue

📊

Crypto Ingestion Pipeline & dbt Transformation

CoinGecko API → Airbyte → Snowflake pipeline. dbt transforms raw data into materialized tables for analytics. Logically isolated schemas ensure data integrity and actionable crypto insights.

Snowflake · dbt · Airbyte · APIs

🔧

DynamoDB CRUD API (AWS)

RESTful API for Create, Read, Update, Delete operations using DynamoDB. Lambda functions handle HTTP methods. Deployed via API Gateway. Endpoints tested with cURL. Well-Architected Framework.

Lambda · DynamoDB · API Gateway

🖼️

Image Processing Pipeline with ML (AWS)

Serverless solution: upload images to S3, process with AWS Rekognition, store metadata in DynamoDB. Lambda extracts labels and manages DB entries. Well-Architected Framework.

S3 · Rekognition · Lambda · DynamoDB

🥕

Karrot.

Android quizzing app educating kiwi kids about nutrition and health. Agile development, stakeholder feedback, HCI design. Built in Java & XML with Android Studio. Aligned with UN Sustainability Development Goals.

Java · XML · Android Studio · Agile

Contact

I'm always open to discussing new opportunities, collaboration, or just saying hello.