🚀 I’m currently working as an IT Analyst / Programmer at Mayo Clinic, building scalable data solutions and pipelines on Google Cloud Platform (GCP) as part of the Advanced Data Lake team.
🎯 My professional focus includes migrating source systems to GCP using tools like Datastream, Dataflow, and BigQuery. I'm actively involved in proof-of-concept projects exploring modern data storage solutions such as Apache Iceberg, BigQuery Omni, and Azure integrations.
💾 Passionate about data engineering, I specialize in developing and maintaining efficient ETL pipelines, data modeling, and leveraging cloud technologies to solve challenging data problems.
🔧 Skills & Technologies
- Languages: Python, SQL, Java, Kotlin, TypeScript
- Databases: PostgreSQL, MySQL, BigQuery, SQLite
- Cloud & Data Tools: Google Cloud Platform (GCP), Datastream, Dataflow, Dataplex
- DevOps & Tools: Git, Docker, Postman, Azure DevOps
A real-time data engineering pipeline for analyzing sentiment and keyword trends from Bluesky posts, featuring Kafka, PySpark, Airflow, and Dash.
📝 Bloggy
A full-stack blogging platform built with TypeScript and Node.js, allowing users to create and share technical blog posts written in Markdown. Blogs are stored in SQL databases and images/files are hosted on Google Cloud Storage.
An Android news and weather app written in Kotlin. It features SQL-based authentication to securely store user credentials, ensuring a personalized experience with saved preferences.
I'm eager to connect! Feel free to reach out: