Milan Regmi
Data Engineer | Designing Scalable ETL & Cloud Data Solutions | AWS | Azure | PySpark | Snowflake
- Role
- Data Engineer at Charter Communications
- Location
- Queens, NY, US
- LinkedIn followers
- 500 followers
About Milan Regmi
I’m a Data Engineer with an M.S. in Artificial Intelligence from Yeshiva University (NYC), specializing in designing and deploying scalable data pipelines and cloud-native architectures across Azure, AWS, and Snowflake.At Charter Communications and Verisk Analytics, I built and optimized ETL workflows using PySpark, Airflow, and Azure Data Factory, improving data accuracy by 10%+ and cutting pipeline latency by over 40%. My work focuses on building reliable, high-performance systems that bridge data engineering and machine learning for smarter business insights.Skilled in PySpark, SQL, Snowflake, Databricks, and Power BI, with certifications in Microsoft Azure Data Fundamentals (DP-900) and AWS Cloud Practitioner, I aim to design data solutions that are efficient, secure, and insight-driven.Based in New York City | Open to Data Engineer, ML Engineer, or Cloud Data roles.
Experience
Data Engineer
Aug 2024 — Present · New York, NY, US
Designed and automated large-scale ETL pipelines using PySpark, Airflow, and Azure Data Factory to unify ERP (SAP), CRM (Salesforce), and third-party inventory data into Snowflake, cutting end-to-end latency by 42%. Built modular SQL and Python frameworks for data cleansing and aggregation across 5 TB+ datasets, and implemented a data-quality system with Alation and custom validation rules that raised accuracy from 88% to 98%.Developed Power BI dashboards for sales pipeline, retention, and churn analysis (–60% report time), and optimized Snowflake performance via partitioning, clustering, and materialized views (–37% query runtime). Led Teradata-to-Snowflake migration for 400+ tables, standardized lineage for 120+ datasets, and enforced PII/GDPR compliance with Collibra and Alation. Deployed CI/CD with GitHub Actions + Docker (–50% release cycles) and partnered with data-science teams to build SQL feature stores for predictive maintenance and customer-propensity models.Tech Stack: PySpark, Airflow, Azure Data Factory, Snowflake, Power BI, Alation, Collibra, Python, Git, Docker, SQL Server
Education
St. Xavier's College, Maitighar
High School Diploma, Science
Pokhara University
Bachelor's degree, Computer Engineering
Yeshiva University
Master's degree, Artificial Intelligence
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