Data Engineer | Python, SQL, Airflow, dbt, Snowflake, AWS

Overview

Looking for full-time work (8 hours/day)

at $9.38/hour ($1,818.18/month)

Bachelors degree

Last Active

August 7th, 2025 (304 days ago)

Member Since

December 20th, 2021

Profile Description

Summary
Dynamic and self-driven data engineer with 3 years of experience at a fast-paced edtech startup. Proficient in SQL and Python. Extensive hands-on familiarity with every part of the modern data stack including infrastructure and deployment, leveraging open source tools like Apache Airflow, Docker, Singer, and dbt Core to deliver scalable data solutions. Proven ability to collaborate with global teams, communicate with technical and non-technical stakeholders, and deliver business-critical reports and dashboards.

Work Experience

Data ---------- ( ---------- )
    Data Integration & Transformation
    - Maintained 30+ Airflow DAGs that use Singer to ingest data from various sources (e.g. Postgres DBs, Shopify, Zendesk) into Snowflake before running transformations with dbt Core
    - Updated Singer taps and targets to keep up with upstream API changes and add unsupported features (e.g., new streams, authentication modes)
    - Oversaw dbt project comprising 130+ models, having written about half of them plus documentation and associated config files
    - Refactored legacy transformation code to conform to dbt best practices (e.g., layers, refs, tests)

    Infrastructure
    - Managed entire Airflow stack and CI/CD pipeline, solving issues ranging from CircleCI workflow bugs to faulty Docker containers in AWS ECS
    - Optimized Airflow scheduling, Snowflake configs, and dbt materializations to achieve a 30% overall cost reduction in Snowflake

    Collaboration & Data Delivery
    - Used Git and Docker extensively to collaborate with fellow developersWorked remotely with a global team (PH, AU, BR) using tools such as Slack, Notion, Google Meet, and Google Calendar
    - Cooperated directly with CFO and finance team for audits and investor due diligence reports regarding revenue and customer churn
    - Maintained suite of 12+ Quicksight dashboards and source datasets on every aspect of the business, revising them according to changing data needs as determined in stakeholder meetings
    - Communicated with technical and non-technical stakeholders, creating both technical documentation and high-level presentations and memos

Education & Certifications
BA Sociology, UP Diliman - graduated July 2025
Associate Cloud Engineer Certification, Google Cloud - 2025
dbt Fundamentals, dbt Labs - 2022
Data Warehouse Hands-on Essentials, Snowflake - 2022
Data Engineer with Python Career Track, DataCamp - 2021