I am an Analytics and Application Support Professional with experience in building data solutions, developing Power BI dashboards, designing data models, and supporting enterprise technology environments.

Over the past several months, I have focused on strengthening my expertise in Business Intelligence and Data Engineering, with hands-on experience developing Power BI reports using advanced DAX measures, Power Query transformations, star schema data modelling, and interactive dashboards to deliver actionable business insights. I have also worked with SQL, Snowflake, dbt, and ETL/ELT concepts to design and transform data pipelines for analytics and reporting purposes.

My technical experience includes building data engineering projects involving data ingestion, transformation, and warehouse modelling using technologies such as Snowflake, dbt, SQL Server, Apache Airflow, and cloud platforms including Microsoft Azure and AWS. I have also used Python for data analysis, automation, and data processing, along with API development using FastAPI.

I have nearly seven years of IT support experience, where I developed strong skills in incident management, troubleshooting, documentation, and working with enterprise applications using platforms such as ServiceNow and Jira. This experience has strengthened my ability to understand business requirements, solve technical problems, and collaborate effectively with cross-functional teams.

You can view examples of my Power BI and Data Engineering projects below:

* GitHub Portfolio: Upgrade to see actual info
* Walmart Databricks Airflow DBT Project: Upgrade to see actual info
* Airbnb Project Data Engineering: Upgrade to see actual info
* Flight API Airflow Snowflake Data Engineering: Upgrade to see actual info
* Snowflake Data Engineering Sample Project: Upgrade to see actual info
* SQL Data Warehouse & Power BI Project: Upgrade to see actual info
* Sales Reporting Dashboard: Upgrade to see actual info
* Power BI Earthquake Data Visualization: Upgrade to see actual info
* Power BI Sales Dashboard: Upgrade to see actual info

I am Microsoft Certified: Azure Fundamentals (AZ-900) and continuously expanding my knowledge in modern data platforms, analytics engineering, and cloud-based data solutions. I believe my combination of data engineering skills, BI development experience, and enterprise IT background allows me to contribute effectively to your team.

You can also explore my portfolio here:
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I would welcome the opportunity to discuss how my skills and experience align with your requirements. Thank you for your time and consideration.

Best regards,
Joseph

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 Upgrade to see actual info (Upgrade to see actual info)
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

Services I can help with:
• Data Analysis & Reporting
• SQL Query Writing
• Power BI Dashboards
• Excel Automation & VBA
• Reporting Automation
• Data Validation & Cleanup
• Lead Generation & Research
• Administrative Support

My professional experience includes:
• SQL (Snowflake, MS SQL)
• Power BI dashboards & visualization
• Excel VBA & reporting automation
• KPI and performance reporting
• Data cleaning & validation
• Zendesk reporting & analytics
• Data reconciliation
• Reporting workflow optimization
• Lead generation & operations support
• Administrative and business support

If you are looking for someone who can combine analytics, automation, reporting, and operational support, I would be happy to work with you.

Experienced professional with a background as a Subject Matter Expert in telecommunications, supporting production and training initiatives. Currently a Support Technical Engineer for a modern communication API, proficient in Zendesk, Splunk, and Snowflake. Skilled in onboarding and mentoring, managing client accounts, and delivering seamless customer support. Adept at problem-solving, process optimization, and fostering positive learning environments. Dedicated to quality support and operational efficiency.