Tung Le
+84 989 940 961 | [email protected] | Linkedin | Github

Result-driven platform engineer with 4+ years building high-throughput, fault-tolerant distributed systems in Go and Ruby. Built platform capabilities that generated five figures in new MRR, retained enterprise customers, reclaimed 3,000 staff-hours per month, and delivered zero-downtime migrations sustaining 1M records per day.

Work Experience

• Middle Software Engineer	Aug 2025 – Present
  ANZ – ANZ Plus	Australia

  • Reclaimed ~3,000 staff-hours per month by architecting a Go service that automated the end-to-end account closure process; one of the few initiatives retained through a company-wide restructure. Built an integration test suite that cut QA workload by 50%.

  • Migrated 1,000,000 emails per day with zero downtime by engineering a Temporal workflow that archived Suncorp email records into ANZ storage, unblocking a critical path in the Suncorp acquisition. Owned non-functional concerns like scheduling, reliability and throughput, applying task queues and rate-limited processing to protect downstream services.

• Software Engineer	Aug 2022 – July 2025
  Holistics Data – Data modeling team	Singapore

  • Retained 2 enterprise accounts (4 figures ARR) by architecting the Databricks connector (feature) in Ruby and TypeScript to a 95% query success rate; designed the SQL engine that compiles structured query representations into Databricks-executable SQL and extended it to drive pivot, KPI, line and pie visualizations.

  • Grew dbt adoption 20% and contributed to a 4 figures MRR enterprise deal by designing and shipping the dbt Cloud integration (feature), including the core metadata mapping and synchronization layer between dbt Cloud and Holistics data models.

  • Generated 5 figures in MRR from customer migrations and eliminated 80% of manual engineering effort by leading a team of 3 engineers to build an automated migration pipeline (feature) with failure detection and data-inconsistency resolution.

  • Reduced user search time by 20% by designing and implementing a scoped, object-aware advanced search syntax and its parser (feature).

Personal Projects

• Multi-Cloud Blob Storage | github

  • A storage abstraction that performs zero-downtime migrations across AWS S3, Azure Blob Storage and Google Cloud Storage by routing logical bucket names to physical backends.

• Logical Sharding Layer | github

  • A sharding layer over Azure Blob that bypasses per-account cloud limits by distributing blobs across storage accounts, and accelerates HEAD/LIST operations through a dedicated metadata index.

• Spark data pipeline | github

  • Data pipeline: load data from S3, transform using PySpark, persist to parquet and query using DuckDB.

• Scaling analytic workload using Spark | github

  • Attempts on scaling workload from single-process machine to multi-process machine to Spark workers. Benchmark performance characteristics between each one.

Skills

Languages: Python, Go, Ruby, TypeScript, JavaScript, SQL
Backend & Distributed Systems: PySpark, Temporal, Sidekiq, Ruby on Rails, REST/OpenAPI
Data & Cloud: GCP, AWS S3, Azure Blob Storage, Spanner, PostgreSQL, Redis, Databricks, dbt, MinIO
Observability & Quality: OpenTelemetry, Splunk, Github Action, CircleCI
Frontend: Vue.js

Education, Certifications and Awards

B.Sc. Computer Science, FPT University, Vietnam
B.Sc. Electrical Engineering, Ho Chi Minh University of Technology, Vietnam
IELTS 7.0 | 1st place, Productivity category, Holistics Hackathon 2024 | Promising Award, Holistics Hackathon 2023