I’m a Financial Data Analyst and Mechanical Designer with over 5 years of technical experience across manufacturing, reporting, and business analytics. My work bridges engineering precision with financial insight—leveraging tools like Power BI, Excel, Python, and SQL to drive better decisions and optimize performance.

With internships in DevOps and Data Engineering, I've designed scalable ETL pipelines, automated CI/CD workflows, and deployed cloud-based monitoring solutions. I’m now focused on transitioning fully into a Data Engineering role, where I can build data infrastructure that powers advanced analytics and business intelligence.

Languages & Tools: Python (Pandas, NumPy, Seaborn, Matplotlib), SQL, Bash
Data Engineering: Apache Airflow, dbt, Spark, Kafka, Hadoop
Databases: PostgreSQL, Snowflake, AWS Redshift, Google BigQuery
Cloud & DevOps: AWS (S3, RDS), GCP (BigQuery), Prometheus, CI/CD
BI & Analytics: Power BI, Excel (Power Query, Macros, VBA), Tableau, DAX
Automation: Python scripting, Excel automation, API integration

📊 Engineering Project Tracking Dashboard
An Excel-based KPI dashboard designed to track drawing status, error trends, and detailing progress. Built with real-world transformer engineering context and includes real-time calculations (e.g., Days Remaining, Status logic), dynamic conditional formatting, and a dashboard tab with charts and metrics.
🔗 View GitHub Repo

⚙️ Transformer Cable & Lead Length Calculator Suite
A professional-grade Excel calculator for cable sizing, part number lookup, and lead length aggregation in transformer builds. Features a clean main menu, protected outputs, structured formulas, and mock data ready for portfolio sharing.
🔗 View GitHub Repo

If you're seeking a data-driven professional who blends business, engineering, and analytics—and is laser-focused on scaling into data engineering—I'm open to opportunities and collaboration.