- π’ Currently building cloud-native data pipelines at Walmart, processing 2TB+ daily
- ποΈ Designing enterprise data lakes on ADLS Gen2 integrating 10+ retail systems
- β‘ Migrated legacy ETL to event-driven pipelines using Kafka, increasing throughput by 40%
- π M.S. Data Science from UMass Dartmouth
- π Passionate about data quality, automation, and clean architecture
- π Always learning β currently exploring advanced dbt patterns and Terraform
Azure Azure Databricks Azure Synapse ADLS Gen2 Snowflake AWS S3 AWS Redshift Google BigQuery
Apache Spark PySpark Apache Kafka Event Hubs Hive HDFS
Apache Airflow dbt Docker Terraform Git GitHub Actions Jenkins
End-to-end real-time data pipeline for retail analytics with streaming ingestion, quality checks, and interactive dashboards.
Kafka PySpark Delta Lake Snowflake dbt Airflow Great Expectations Streamlit
Scalable healthcare data pipeline with automated quality validation, cloud storage integration, and real-time monitoring dashboards.
Python Snowflake dbt Airflow Great Expectations AWS S3 Streamlit
Production-grade dbt project implementing Kimball star schema with 35+ data quality tests and full CI/CD automation on Snowflake.
dbt Snowflake Kimball Tests CI/CD
π‘ Open to collaborating on data engineering projects and cloud data platform initiatives