Nishan Maharjan

I am a Senior Data Engineer with 6+ years building scalable ETL/ELT pipelines, real-time streaming solutions, and robust data warehouse architectures across AWS, Azure, and GCP. I design and productionize data platforms using Python, Spark (PySpark/Scala), Kafka, dbt, and Airflow to deliver reliable, low-latency data for analytics and ML.

My work has reduced data latency and improved processing efficiency through real-time ingestion, serverless pipelines, and cloud migrations; notable contributions include building Kafka/Spark streaming systems, automated serverless event processing, and migrating large raw data lakes to AWS S3 with Glue and Spark. I also develop CI/CD for data pipelines, containerized deployments with Kubernetes, and interactive dashboards to inform business decisions.

I prioritize compliance, observability, and collaboration—partnering with product, analytics, and compliance teams to meet GxP/HIPAA requirements, perform root cause analysis, and tune performance. I bring a hands-on, communicative approach to engineering challenges and a track record of enabling scalable ML-ready data platforms.