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
Morgan Stanley
Software Engineer II
Jan 2024-Present
Morgan Stanley
Software Engineer I
Jan 2023 - Dec 2023
Technology Analyst
Aug 2022 - Dec 2022
Morgan Stanley
Technology Spring Analyst Intern
Jan 2022 - July 2022
Morgan Stanley
Foundation Built on Learning, Seeking to Grow.
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