Raymond
Cancino_
Data Engineer → Forward Deployed Engineer
I help e-commerce and ops teams make sense of data that doesn't agree with itself.
About
“I help teams that inherited chaos, mismatched platforms and no shared schema, ship something that holds.”
I'm a Data Engineer who gets dropped into messy, real-world data and makes it work. Across e-commerce (Wix, TikTok Shop, Walmart, Shein), AdTech, and EdTech, I've built pipelines that survive inconsistent schemas, duplicate records, and platforms that don't agree with each other, then shipped the fix, not just the diagnosis.
I specialize in Python, SQL, dbt, Airflow, and cloud platforms (GCP, AWS, Snowflake, BigQuery), and I deploy what I build (Docker, Terraform, Kubernetes), not just prototype it. My background as a Mechanical Engineering graduate and university instructor means I can take an ambiguous problem, structure it, and explain it clearly to whoever owns it, engineer or not.
Location
Philippines
Role
Data Engineer
Startup
Carnot Coaching Center
Status
● Available
Technical Stack
PythonSQL
Apache AirflowdbtOpenMetadata
Spark
Kafka
PostgreSQL
Pandas
GCP
Grafana
BigQuery
Snowflake
Docker
Terraform
Vercel
Neon
Next.js
TypeScript
React
Tailwind CSS
Node.js
REST/GraphQL APIs
scikit-learn
TensorFlowVertex AI
Hugging FaceOpenAI APIs
Metabase
Looker StudioSelected Work
07 projectsCarnot Coaching Center
100+ students using it liveAn EdTech platform targeting Philippine engineering licensure examinees. Built the full-stack web application, infrastructure, and data strategy for the August 2026 MELE cohort launch.
Data Analysis for Engineers
A project-based Python course teaching engineers job-ready data analysis skills, from Pandas and NumPy to statistics and applied ML, through six case studies grounded in Philippine engineering practice.
2025 COMELEC Election Data Analytics Platform
A comprehensive data engineering platform for collecting, processing, and analyzing election data from the 2025 Philippines Commission on Elections (COMELEC) national and local elections.
Stack Overflow End-to-End Data Pipeline
This project analyzes 14 years of Stack Overflow Developer Survey data to uncover valuable insights into technology trends, developer experiences, and industry shifts. The analysis covers a wide range of topics, including programming languages, salary distribution, education demographics, job roles, and predictions for future tech trends.
Amazon Sales Data Analysis
This project processes and analyzes Amazon sales data to generate insightful metrics and visualizations, including sales performance, return rates, profit margins, and fee analysis.
Weather Data Pipeline
This project collects, processes, and analyzes weather data to enable insightful visualizations and trend analysis using modern data tools.
Machine Learning Zoomcamp Coursework
This project is a collection of coursework from the Machine Learning Zoomcamp, covering various topics in machine learning and data science.
Work History
08 positionsOct 2025–Present
Data Engineer · Bogucki Enterprises
Remote · Philadelphia, PA, USA
- Administer AWS infrastructure (EC2, S3, Lambda, RDS, DynamoDB) powering production data engineering workloads.
- Architect Python ETL pipelines in Airflow and dbt transformation models; established OpenMetadata as the data catalog.
- Build Metabase dashboards for stakeholder self-service reporting.
- Set up Grafana dashboards and alerts for pipeline and infrastructure observability.
Mar 2026–Present
Founder · ARES Information Technology Solutions
Founder · Philippines
- Built and lead a data/BI consultancy delivering "Command Center" dashboards for retail and e-commerce SMEs, consolidating inventory, sales, and margin data scattered across incompatible tools into a single real-time view.
- Run client engagements end-to-end: data audits, systems integration, dashboard builds, and ongoing monitoring retainers.
Apr 2025–Oct 2025
Data Engineer · Mindwyre
Remote · Idaho, USA
- Designed and implemented a data pipeline for AdTech data ingestion and transformation, enabling reliable reporting and analytics.
- Trained and deployed a classification model to automatically categorize project codes and labels.
- Utilized SQL, Tableau, and Power BI for advanced reporting, delivering actionable insights to stakeholders.
- Translated ad-ops stakeholder questions into pipeline and modeling requirements, and presented findings back in plain business terms.
Jul 2022–Feb 2025
Software Engineer · GrandShipper
Remote · New York, USA
- Designed and maintained data pipelines integrating e-commerce platforms (Wix, TikTok Shop, Walmart, Shein).
- Built ETL workflows using Airflow and dbt, reducing manual data prep time by 25%.
- Developed internal dashboards for analytics and experimented with Vertex AI models for product recommendations.
- Diagnosed and resolved recurring data mismatches between platforms with no shared schema, the kind of ambiguous, client-facing problem that has no clean spec.
Aug 2021–Apr 2022
Production Division Staff · Sumi North Philippines
Wiring System · Pangasinan, PH
- Designed and implemented process improvements in production, contributing to increased team efficiency.
- Applied data analysis to identify bottlenecks and improved output efficiency by 15%.
- Led a small team of engineers and production workers.
Aug 2020–Dec 2024
University Instructor · Virgen Milagrosa University Foundation
Part-time · Pangasinan, PH
- Taught foundational engineering courses, including Algebra, Trigonometry, Calculus, and Thermodynamics.
- Supervised junior students in Mechanical Engineering, guiding them through academic and project-based work.
Feb 2026–Present
Co-Founder & Tech Lead · Carnot Coaching Center
EdTech · PH
- Co-founded an EdTech startup targeting Philippine engineering licensure examinees.
- Leading frontend development, infrastructure setup, data strategy, and go-to-market planning for the August 2026 MELE cohort launch.
Jun 2026–Present
Systems Lead · Data Engineering Pilipinas (DEP)
Volunteer · Remote, Philippines
- Serve as Systems Lead for DEP's community-powered Data Engineering Program, a 6-month build sprint where 50 selected builders ship a public GitHub project, a real data pipeline, and a deployable dashboard.
- Support program systems and infrastructure for milestone review and mentorship across the 2026 cohort.
Credentials
10 certs
Contact
Let's
Build
Something.
Always open to interesting conversations and collaborations.
Ready to collaborate?
I'm looking for data engineering roles, freelance projects, and startup partnerships.
Send a Message →