Data Engineering is the backbone of every data-driven organization. I design and build the pipelines, platforms, and architectures that transform raw data into actionable insights — reliably, at scale, and in real time.

Core Competencies

• Data Pipelines — Apache Spark, Kafka, Airflow, dbt, Flink
• Data Lakehouse — Delta Lake, Apache Iceberg, Hudi, Lake Formation
• Cloud Data Platforms — Snowflake, Databricks, BigQuery, Synapse, Redshift
• Real-Time Streaming — Kafka Streams, Kinesis, Pub/Sub, Event Hubs
• Data Quality & Observability — Great Expectations, Monte Carlo, data contracts

Reliable data engineering is what separates organizations that talk about being data-driven from those that actually are. Explore my data engineering insights below.