Thai Resume
TH
DATA ENGINEER
Hello, I'm
BODINKRONGCHON
DATA ENGINEER
Build • Operate • Improve
I build reliable, scalable, production-style data systems that turn real business data into trusted, actionable information.
SQLPythonDatabricksPySparkAirflow
FEATURED PROJECTPRODUCTION-STYLE
Databricks Lakehouse Medallion Pipeline
Databricks Lakehouse built on Apache Spark with Bronze-Silver-Gold, Delta Lake, CDC, SCD Type 2, data quality, reliability labs, monitoring, CI, and measured performance tuning.
BRONZERaw→
SILVERClean→
GOLDBusiness→
ANALYTICSTrusted
7/7Reliability Labs
5,249Fact Rows
25Evidence
PASSCI
8Completed ProjectsVerified repositories
7/7Reliability LabsDatabricks
193Automated TestsSQL project
161Automated TestsInfluencer project
34Lineage EdgesSQL project
32Governance AssetsSQL project
Tech Stack
Python
SQL
Databricks
PySpark
Apache Airflow
PostgreSQL
SQLite
Docker
FastAPI
GitHub Actions
dbt
BigQuery / GCP
AWS
Terraform
SQLiteFEATURED PROJECTS
View All Projects →
Completed Projects
Production-style data engineering projects with real-world business context and verified evidence.
01SQL • ETL
SQL E-commerce
Data Engineering
Reliable SQL data platform with incremental load, data quality, monitoring, API serving, and recovery.
25Tables20Views57Indexes193Tests
SQLPythonAirflow
View Project →
02LAKEHOUSE
Databricks Lakehouse
Data Engineering
Databricks Lakehouse on Apache Spark with Delta Lake, Bronze-Silver-Gold, CDC, SCD2, data quality, reliability labs, CI, and measured Spark optimization.
7/7Labs5,249Rows25EvidencePASSPublic CI
DatabricksApache SparkDelta Lake
View Project →
03MASTER DATA
Influencer Master Data
& Campaign Intelligence
Governed influencer master data connecting source provenance, campaign history, and explainable matching decisions.
703Master161Tests2,519Aliases6,530Core
PythonSQLPostgreSQL
View Project →
04MARKETING
Marketing Campaign
Data Platform
Payment-data validation, rejected-record routing, SQLite analytics, and privacy-safe portfolio outputs.
268Records6OutputsDQGatesSAFEPrivacy
SQLPythonSQLite
View Project →
05PIPELINE
E-commerce
Data Pipeline
Multi-source Excel pipeline with validation, transformation, SQLite analytics, and portfolio-safe outputs.
105Records5OutputsDQSample PASSETLFlow
PythonPandasSQLite
View Project →
06GCP / BIGQUERY
BigQuery Enterprise
Data Platform
Production-oriented GCP/BigQuery platform with layered warehouse modeling, dbt, reconciliation, security, Terraform, and CI/CD.
32/32DoD12/12Runtime8RAW TablesPASSCI
BigQuerydbtTerraform
View Project →
07AWS / DATA PLATFORM
AWS Production Data Engineering
& Reliability Platform
AWS data platform for retail, vending, and payment workflows with SQL, Python, Glue, S3, Redshift, orchestration, data quality, and reliability engineering.
640TestsPASSCI0Safety FindingsPUBLICGitHub
AWSSQLRedshift
View Project →
08AIRFLOW / DBT
Airflow + dbt E-commerce
Data Platform
Production-oriented e-commerce platform with Airflow orchestration, PostgreSQL, dbt warehouse layers, data quality, monitoring, recovery drills, Docker, and CI.
8Sources257dbt Pass37/37PG TestsPASSHosted CI
AirflowdbtPostgreSQL
View Project →
Engineering Proof
Build beyond the happy path: data quality, monitoring, recovery, lineage, CI/CD, and performance evidence.
✓Data Quality193 tests
↗LineageEnd-to-end
⌁MonitoringSLA + alerts
↻RecoveryRCA + runbook
⌁PerformanceQuery tuning
</>CI/CDValidation
View All Evidence →
Core Capabilities
Capabilities grounded in completed projects, from ETL and modeling to reliability and serving.
⇄ETL / ELTPipelines
◇Data ModelingStar + relational
⌘OrchestrationAirflow
⌁DocumentationContracts
⬡DevOpsDocker + CI
▥AnalyticsBusiness context
View Capabilities →
Experience
Data Engineer — E-commerceRAVE UP ADTECH AND SOLUTION Co., Ltd.
Real operational context across e-commerce, influencer, campaign, payment, and reporting workflows.
- Multi-Platform Data Integration
- Data Cleaning, Standardization & Deduplication
- Client Insights & Business Recommendations
- Payment Data Preparation & Reconciliation
Credentials
✓
View Certificate →
Verified CertificateData Science Bootcamp Batch 12DataRockie · 2026VERIFIED
Let's Connect
Open to Data Engineering opportunities and technical conversations.
Send Message →“Data is not just numbers. It is better decisions.”
Engineering solutions to real data challenges
Eight portfolio projects shown with real pipeline runs, reliability screenshots, test output, CI checkpoints, and repository evidence. Metrics are recorded checkpoints, not a claim that every system is running live.
SQL E-commerce Data Engineering
A reliability-focused SQL platform with incremental loading, idempotency, quality and freshness gates, monitoring, recovery, Airflow, read-only API serving, Docker, and CI.
25Tables20Views57Indexes193Tests
GitHub RepositoryDatabricks Lakehouse Medallion Pipeline
A Databricks Lakehouse built on Apache Spark that demonstrates Delta Lake medallion architecture, CDC, SCD Type 2, data quality, controlled failure labs, monitoring, troubleshooting, CI, and measured Spark performance tuning.
7/7Labs5,249Rows25EvidencePASSCI
GitHub RepositoryInfluencer Master Data & Campaign Intelligence
A deterministic Master Data and PostgreSQL project that resolves fragmented influencer identities into a traceable Golden Master, preserves campaign and performance history, and supports explainable human-reviewed matching.
703Master2,519Aliases6,530Core Rows161Tests
GitHub RepositoryMarketing Campaign Data Platform
Python/SQLite payment pipeline with rejected-record routing and six published outputs. Recorded DQ: 268 rows, 97 missing post dates, and 35 missing payment statuses; these are reported, not silently filled. Private source data is required for a full rerun; no hosted CI is configured.
268RecordsRejectedRoutingSQLite6Outputs
GitHub RepositoryE-commerce Data Pipeline
Python/Pandas Excel ETL with SQLite analytics and five published outputs. The recorded 105-row sample has zero findings in its configured DQ report. Raw Excel files are private; Docker and hosted CI are not configured in this repository.
105RecordsDQPASSSQLite5Outputs
GitHub RepositoryBigQuery Enterprise Data Platform
GCP/BigQuery warehouse with dbt, Terraform, incremental processing, reconciliation, governance and synthetic financial operations. Published runtime evidence records 12/12 checks and eight RAW tables. Public CI checks publication safety, Python syntax and Terraform formatting; it does not rerun the cloud workload.
32/32DoD12/12Runtime Proof8RAW TablesPASSPublic CI
GitHub RepositoryAWS Production Data Engineering & Reliability Platform
A production-style AWS data engineering platform covering retail, vending, and payment data with SQL/Python pipelines, Glue and PySpark transformations, S3 landing, Redshift warehousing, dbt, Airflow, Terraform, data quality, monitoring, security, recovery, and CI/CD evidence.
640/640TestsPASSGitHub Actions0Safety FindingsPUBLICSanitized Portfolio
GitHub RepositoryAirflow + dbt E-commerce Data Platform
Eight source contracts, PostgreSQL, Airflow and dbt with monitoring, recovery drills and Docker. Hosted CI checkpoint: 370 service-free tests, 37 PostgreSQL tests and 257 dbt build results passed. AWS infrastructure is reference/plan evidence; live ECS/RDS/ALB runtime is not deployed.
8Sources257dbt Pass37/37PG TestsPASSHosted CI
GitHub RepositoryI don't only build the happy path.
The portfolio proves that systems can be tested, observed, diagnosed, recovered, and verified — not only executed successfully.
Data Quality
Contracts, thresholds, reconciliation, quarantine, validation, and regression checks.
Lineage & Governance
Dataset lineage, runtime lineage, asset registry, PII classification, masking, and hashing.
Monitoring & Alerts
Run audits, step telemetry, SLA signals, alert fingerprints, occurrence history, and lifecycle.
Recovery & Reliability
Controlled failures, retry, RCA, recovery contracts, backfill, and recovery validation.
Performance Tuning
Query plans, benchmark evidence, indexing, Spark tuning, and regression protection.
CI/CD & Reproducibility
GitHub Actions, automated tests, Docker validation, reproducible runtime checks, and release evidence before delivery.
DATA ENGINEERING OPERATING LOOP
Build→Operate→Break→Troubleshoot→Recover→Optimize→Explain
Core tools backed by completed project evidence.
Capability cards describe what I can build and operate today — not a future learning roadmap.
Core Tools
Python
SQL
PostgreSQL
Docker
Airflow
Databricks
Git / CIData Pipeline Development
Batch • Incremental • CDC • SCD
Data Modeling
Relational • Warehouse • Medallion
Orchestration
Airflow • Scheduling • Recovery
Data Quality
Validation • Reconciliation • Freshness
API & Serving
FastAPI • Read-only access • Safe outputs
DevOps & CI/CD
Docker • GitHub Actions • Reproducibility
Databases
SQL • PostgreSQL • SQLite
Analytics & Business Context
E-commerce • Influencer • Campaign • Payment
Observability & Reliability
Monitoring • Alerts • Retry • Recovery
Cloud & Infrastructure as Code
GCP/BigQuery • AWS • Terraform
Real business context behind the engineering projects.
Portfolio projects extend recurring operational data pain points into engineering labs. They do not claim that every portfolio technology is deployed in production at the company.
AUG 2025 – PRESENT
Data Engineer — E-commerce
RAVE UP ADTECH AND SOLUTION Co., Ltd.- Build and maintain recurring data pipelines from TikTok Shop, Shopee and Lazada exports.
- Clean, validate, standardize and deduplicate operational datasets.
- Analyze sales, advertising, SKU and campaign performance.
- Prepare reconciliation data and reporting for business teams.
- Reduce repetitive preparation through reusable automation.
2026
Portfolio Engineering Labs
Data Engineering Projects- SQL, PostgreSQL, Airflow, dbt, Databricks, BigQuery and AWS project evidence.
- Reliability labs, data quality, recovery, lineage and CI validation.
- Eight completed portfolio projects with public repository evidence.
BK
AUG 2025PRESENT
Data Engineer — E-commerce
RAVE UP ADTECH AND SOLUTION Co., Ltd. · Bangkok, Thailand · Hybrid
I connect recurring operational data work with reusable engineering practices that reduce manual preparation and improve trust in analysis.
Data Integration & Organization
TikTok Shop, Shopee and Lazada data consolidated into reusable datasets and reporting workflows.
Data Quality & Reusable Data
Clean, standardize, validate and deduplicate influencer, campaign, sales, compensation and payment records.
Analytics & Optimization
Analyze sales, advertising, product, SKU and campaign performance to surface trends and opportunities.
Insights & Stakeholder Reporting
Turn campaign and commerce data into client insights, dashboards, presentations and next-action recommendations.
Payment & Cross-functional Operations
Prepare and reconcile payment data while supporting e-commerce, influencer and project operations in a lean team.
ACADEMIC BACKGROUND
Education
Formal education and structured learning that support my engineering practice.
2026
Data Science Bootcamp — Batch 12
The School of Generalist (DataRockie)Hands-on data science and engineering practice through structured projects.
DR
2006–2010
Bachelor of Laws (LL.B.)
Burapha UniversityLegal foundation strengthened analytical reasoning, structured problem solving, and communication.
BU
06 / ABOUT
Business context first. Engineering tools second.
My portfolio connects hands-on e-commerce, influencer, campaign, payment, and reporting work with reliable data engineering. The goal is to reduce repetitive preparation, improve data trust, and give more time back to analysis and better decisions.
I prefer systems that are observable, recoverable, testable, and explainable — not just pipelines that happen to finish successfully.
◇E-commerce / Marketplace / Operational Data
◇Data Engineering / Data Platform / Reliability
◉Production-style systems and business impact
↗Cloud / Lakehouse / Orchestration
＋Open to Data Engineering opportunities
Problem Solver
Start with the business problem and the data pain behind it.
Builder
Create reusable systems that can be operated and extended.
Owner
Trace failures through evidence and verify recovery.
Learner
Keep future learning separate from verified capability.
Credentials that can be opened and verified
Only credentials with a confirmed public link are shown here.
Thai & English Resumes
View my Thai and English resumes.
08 / CONTACT
Let's build reliable
Let's build reliable
data systems.
For Data Engineering opportunities, portfolio review, or technical conversations, use the channels below.
Send Message→