Pratik Ghimire

About Pratik Ghimire

I am a Data Engineer with 6+ years of experience designing scalable real-time streaming pipelines, ETL frameworks, and cloud-based data platforms across FinTech and large communication enterprises. I specialize in Kafka, PySpark, Airflow, AWS, and Databricks, delivering high-availability data systems that process millions of events daily. My work has optimized data costs by up to 30%, improved analytics latency by 40%, and strengthened governance, security, and regulatory compliance. I’m passionate about building reliable, business-driven data solutions that enable smarter decision-making.

Experience

1. Data Engineer

   Charter Communications

   Mar 2024 — Present · NY, US

   Developed a scalable real-time data ingestion and analytics platform to enhance network reliability,customer insights, and operational efficiency across millions of subscribers.• Designed and implemented real-time data ingestion pipelines using Apache Kafka and Spark Streaming, reducinglatency for critical analytics dashboards by 40%.• Built and automated data processing workflows with Python and Airflow, handling over 10M events daily with 99.9%data availability.• Engineered and maintained a centralized data lake on AWS S3, integrating diverse data sources including networksensors, CRM systems, and usage logs.• Processed 100M+ network sensor logs per day using Apache Spark, enabling near real-time insights for the NetworkOperations Centre (NOC).• Optimized SQL queries and compute resources in AWS Glue and Redshift, cutting data processing costs by 30%.• Developed ETL pipelines for usage analytics, churn prediction, and customer segmentation, increasing targetedmarketing ROI by 22%.• Collaborated with data scientists to build machine learning feature stores, streamlining deployment of predictivenetwork reliability models.• Implemented data quality validation and governance frameworks using Great Expectations, ensuring high accuracy indownstream reports.• Partnered with cross-functional teams (Product, Network Ops, BI) to translate business goals into data engineeringdeliverables driving operational excellence.

Education

• Tribhuvan University

  Bachelor's degree, Computer/Information Technology

• Monroe University

  Master's degree, Computer Science