🪪 Profile
Data analyst and engineer with experience transforming complex datasets into actionable insights. Skilled in BigQuery, Cloud Functions, and Python, with a focus on automation, dashboard creation, and process optimization. Proactive, collaborative, and committed to continuous learning and delivering impact through data.
📈 Experience
DATA ANALYST – HAULMER
OCTOBER 2018 – SEPTEMBER 2024
- Led data analysis initiatives across Revenue, Growth, and Commercial areas using BigQuery, MySQL, and PostgreSQL.
- Designed dashboards in Looker Studio and Power BI to monitor KPIs, SLAs, and team performance across departments (Sales, Retention, Post-Sales, Customer Service, Supply Chain).
- Automated reporting and data workflows using Python, Cloud Functions, and Airflow, optimizing delivery times and decision-making processes.
- Created and maintained KPIs for product shipments, payment tracking, and sales commissions, improving traceability and operational efficiency.
- Built data pipelines in BigQuery and integrated Google Cloud tools (Cloud Storage, Cloud Functions) for scalable data processing.
🗂️ Projects
Built a basic DAG in Apache Airflow to schedule and orchestrate data workflows, exploring core concepts of dependency management.
Created synthetic employee datasets using PySpark and Faker for testing and data modeling purposes in data pipeline simulations.
Applied DBT to model and transform mock data using modular SQL models and best practices for versioning and documentation.
Developed a scalable data processing pipeline with Apache Beam, working with both batch and streaming modes for flexibility.
Automated dataset search from Kaggle using its API, improving dataset discovery for exploratory data analysis projects.
