Muneeb Ahmad

I'm a Data Engineer specializing in building open-source, production-grade data lakehouses on Kubernetes. Over the past year and a half, I designed and operated a complete self-hosted data platform — processing ~5 million rows through a full Bronze, Silver, and Gold medallion architecture using Apache Spark, Apache Flink, Trino, dbt-Trino, Apache Iceberg, and Google BigQuery. My core stack includes Python, SQL, and PySpark for data processing; dbt and Trino for transformation; Dagster for orchestration; and a full CI/CD pipeline with GitHub Actions and Mage AI for automated deployments to Kubernetes. I also built a real-time streaming pipeline using Apache Flink and Kafka-compatible messaging with Kappa architecture, sinking data into Snowflake. Key achievements include implementing a layered data quality framework (PyDeequ, dbt tests, Elementary), building 8 BI dashboards in Apache Superset, setting up full observability with Grafana and Prometheus, and resolving 40+ real production issues — from Kubernetes memory crashes to cloud IAM permission chains. I hold HackerRank certifications in SQL (Advanced) and completed Spark Fundamentals through Cognitive Class. My BSc in Computer Science (GPA 3.33/4.0) gave me the foundation; everything else in modern data engineering I taught myself by building real systems. I'm looking for a remote data engineering role where I can bring this end-to-end pipeline ownership — from raw ingestion to production dashboards — to a team solving real business problems. I'm comfortable working async, adapting to different time zones, and taking ownership of complex technical challenges independently.