Engineering data
for tomorrow.
Your data, optimized and engineered by one passionate mind.
A
Data Warehousing and Modeling
Designing scalable data warehouses and crafting optimized data models to support complex business intelligence and analytical queries.
B
Data Pipeline Design and Automation
Building efficient ETL/ELT pipelines to collect, transform, and load data from diverse sources into unified systems for analytics and operations.
C
Real-Time Data Processing
Implementing real-time data ingestion and stream processing using tools like Kafka, Spark, or Flink to enable instant analytics and decision-making.
D
Big Data and Distributed Systems
Managing and optimizing distributed data systems such as Hadoop, Apache Spark, or cloud-native platforms to process massive datasets efficiently.
E
Cloud and Infrastructure Automation
Deploying and orchestrating data solutions on cloud platforms like AWS, Azure, or GCP while automating workflows with tools like Airflow and Kubernetes.
Professional Experience
USC Andrew and Erna Viterbi School of Engineering
Data Engineer
2024-Present
USC Annenberg School for Communication and Journalism
Business Analyst
2023-2024
USC Annenberg School for Communication and Journalism
Technical Consultant
May 23-July 23
USC Andrew and Erna Viterbi School of Engineering
Data Analyst
2024-Present
USC Annenberg School for Communication and Journalism
Software Developer
2023-2024
USC Annenberg School for Communication and Journalism
Research Assistant
May 23-July 23
Professionally Certified, Eager to Deliver.
Microsoft Certified: Azure Data Engineer Associate
SnowPro® Core Certification
Databricks Certified Data Engineer Professional
Udacity Dataengineering Nano Degree
Foundation Built on Learning, Seeking to Grow.
Master's in Computer Science
2022-2024
Bachelor's in Computer Science & Engineering : Big Data Analytics
2018-2022
High school CBSE : Physics, Chemistry, Math, Computer Science
2016-2018
School CBSE : Physics, Chemistry, Math, Computer Science
2006-2016