- Built SRE function 0-to-1—leads a team of 20 across Reliability/SRE and platform infrastructure
- Ops Agent in production—delivered first-ever reliability baselines (previously unmeasured): ~30 min MTTA and ~60 min MTTR; triages, groups, and explains job failures, with an auto-resolve engine in beta testing
- Delivered CR agent CLI cutting change reviews from 90–120 min to ~10 min, sustaining ~50 CR reviews per week; developing agentic version with Confluence-to-GitLab automation
- $1.03M AWS savings through lifecycle optimization, division-wide job right-sizing (25–50% resource reduction), and pipeline refactoring
- Delivered observability across ~6,000 data pipelines with dashboards and alerting
Dustin Smith
Director Data Engineering, SRE & Infrastructure
const
yearsExp
=
10+
const
countries
=
5
const
cloudSavings
=
"$3M"+
/* README.md */
I’m Dustin—an engineer who’s spent the last decade building data platforms, ML systems, and SRE practices across five countries. I love the challenge of taking something broken or non-existent and turning it into a well-oiled machine. Currently Director Data Engineering, SRE & Infrastructure at Techcombank, where I built the SRE function from zero, lead a team of 20, and ship agentic tooling—an Ops Agent triaging pipeline failures in production and a CR agent that cut change reviews from hours to minutes—for one of Vietnam’s largest banks.
/* achievements.ts - Key Impact Areas */
export const achievements = [
- Grew account 4x—built customer confidence and expanded spend from $200K to $800K annually
- Landed $1M expansion by bringing Databricks to a second team at another customer
- Hands-on code optimization cutting customer pipeline runtimes 37.5–60% through cluster right-sizing and Spark tuning
- Built the MLOps team and established practices for model lifecycle management
- Integrated ML Metadata (MLMD) with Vertex AI for tracking training and serving data
- Drift detection pipeline to monitor model performance degradation in production
- 2.331 PB data optimization on-premise, saving 40M THB (~$1.2M) in storage costs
- Led cloud migration evaluation and POC from on-prem to GCP + Databricks
- Established data engineering standards that scaled across multiple teams
];
/* git log --oneline blog/ */
/* skills.yaml - Core Capabilities */
/* career.log - Professional Timeline */
/* certs.json - Verified Credentials */
// Professional Certifications
Advanced data engineering and machine learning expertise
// Associate & Foundational
Databricks, GCP, and Apache Spark foundations
/* education.md - Academic Background */
2015
2011
2011