- 🔭 I’m currently working as a Cloud Data Engineer at Tredence Inc., focusing on scalable data solutions.
- 🌱 I’m currently learning more about Kafka and its applications in real-time data processing.
- 👯 I’m looking to collaborate on projects involving real-time data pipelines and machine learning.
- 💬 Ask me about SQL, PySpark, ETL pipelines, and data governance.
- 📫 How to reach me: [email protected]
- 😄 Pronouns: He/Him
- ⚡ Fun fact: I optimized a data processing workflow that reduced deployment times by 67%!
- 👩💻 Leetcode
Here are some of the projects I've worked on. Feel free to check them out and star them if you like what you see!
GitHub Repo
Technologies Used: AWS S3, Glue, Lambda, QuickSight
Description: Developed a scalable, cloud-based data pipeline to ingest, transform, and store YouTube data for real-time analysis. Enabled insights into trending video metrics across different regions.
GitHub Repo
Technologies Used: Apache Kafka, AWS S3, Glue, Athena, EC2
Description: Built an end-to-end real-time data pipeline for ingesting and processing live stock market data. This solution enables real-time data analysis and secure storage, with EC2 used for Kafka management and Python for scripting.
- Coming soon!
- Improved data processing efficiency by 25% at my current role.
- Automated infrastructure provisioning, reducing deployment time significantly.