Who I Am
I'm an Enterprise BI Analyst with 4+ years of experience designing scalable data pipelines and orchestrating real-time analytics across operational domains. My strengths lie in turning raw data into actionable strategy, automating ETL workflows, and delivering clarity through SQL, Python, and AWS. From reducing install failures to boosting technician performance, I've engineered solutions that move businesses forward. Currently pursuing AWS Data Engineer certification, I'm deepening my focus on cloud-native architecture, infrastructure as code, and serverless workflows.
Skills Snapshot
These are the core technologies I use to turn complex challenges into scalable, secure solutions.
- AWS (S3, Lambda, CloudFront, DynamoDB)
- Terraform & Infrastructure as Code
- CI/CD – GitHub Actions & deployment pipelines
- Python – data processing, test automation
- SQL – complex joins, data cleaning
- Tableau – dashboard design, KPI tracking
- Apache Airflow, Docker (beginner proficiency)
- Data Modeling & ETL workflows
Featured Projects
My portfolio blends cloud automation and data storytelling. These projects showcase my evolution from analytics to engineering.
Cloud Resume Challenge
Serverless portfolio using AWS S3, CloudFront, Lambda, and DynamoDB. CI/CD automated with GitHub Actions and styled for impact.
Tableau Dashboards
Revenue insights, housing market filters, and sentiment analysis dashboards crafted for decision-making clarity.
COVID SQL Exploration
Structured queries and joins to examine global case trends with ETL pipelines and schema optimization.
Python Movie Correlation
Exploratory data analysis using Pandas and NumPy to uncover meaningful relationships across movie datasets.