Rana Zohaib Naseem Khan

I am a Data Engineer with two years of experience building production ETL and data systems for major US hospital organizations under HIPAA-compliant environments.

At Biome Analytics, I engineered a high-throughput ingestion service that loads 430M+ records from a data lake into a relational database, with automated data contracts and event-driven monitoring that surfaces upstream failures before they reach downstream reporting. I also led a Spark-to-Ibis migration across the pipeline layer, reducing engine lock-in and enabling backend-agnostic query execution. Day to day, I design and maintain data pipelines using Apache Spark, Databricks, Dagster, and Ascend, while building the SQL analytics, validation, and data-quality layers that analysts depend on.

Previously, at Kalsoft, I worked on AI and cloud-based data systems. I built a serverless document-intelligence platform on AWS using Lambda, S3, SQS, and DynamoDB that transformed 45+ page contracts into structured insights and reduced manual review time by 70%. I also developed a Retrieval-Augmented Generation assistant using LangChain and the OpenAI API that automated 80% of internal queries.

I work across the full data lifecycle—from raw source data to analysis-ready tables—with strong experience in Python, SQL, Spark, Databricks, Delta Lake, Dagster, Airflow-style orchestration, data modeling, data warehousing, and data-quality testing.

I graduated first in a class of 300 from CUST with a 3.99/4.00 GPA and received the University Gold Medal.

I am based in Islamabad, Pakistan (UTC+5) and work comfortably with US and European teams, including daily overlap with US morning hours. I am open to full-time remote and contract opportunities.