Samuel Ekanem

I am a Senior Data Engineer with 10+ years building large-scale data platforms and distributed pipelines, specializing in Spark, Databricks, Kafka, Python, and AWS data ecosystems. I design both real-time and batch pipelines, lakehouse architectures, and ML training data platforms that process billions of events and multi-petabyte datasets.

At Tesla I led the architecture of a vehicle telemetry lakehouse platform processing over 5B daily events and designed the Autopilot training data platform to transform multi-petabyte sensor and camera datasets. I built large-scale streaming pipelines with Kafka and Spark Structured Streaming, implemented enterprise lakehouse patterns with Delta Lake and medallion modeling, and improved distributed pipeline performance by 40% through Spark optimization and partitioning strategies.

I also developed orchestration frameworks with Apache Airflow and CI/CD automation, collaborated with ML engineers on scalable feature and training data pipelines, mentored data engineers, and led architecture decisions for next-generation data platforms supporting analytics, ML, and operational intelligence.