Sales Engineer / Competitive Analyst with experience in the Data Engineering space. Close watcher of the Modern data stack, and the NEW Modern data stack. Relentless admirer of software practices like CI/CD making their way into Data Engineering and seeing how the Cloud Mega-vendors move the market, and how small software vendors develop amazing product to move it back. Deep admirer of the Transformers architecture and how it's so good at context, and excited to see what the world will make of LLM's and most of all : local LLM's. Would consider, in 2023/2024 the role of Prompt Engineer. It's likely a role like that will be at the forefront of bringing Generative AI to business, which is very exciting. Passionate advocate of Data; be it data engineering, data transformation or data analytics - data is in fact the new oil. Skills in structured, unstructured, semi-structured and badly structured data with strong capabilities in data ingestion and replication, modeling and transformation - be it on-premises, in the cloud, using columnar storage, surrogate keys or the messaging systems of Kafka and Event Hubs - these are all fascinating data engineering use cases. Builder of enterprise data models at scale and tracker of the most mystical of terms in the Data Engineering space; Data Observation vs schema evolution, Data Fabric vs. Data Mesh, Metadata management vs. Lineage tracking, API integration vs. Customer managed keys. Avid watcher of the CDW wars and their speed to deliver new capabilities in delta lake /parquet in one CDW vs. time travel in another, or Notebook integration in one and Python integration in another the ferocious competition is fascinating. Data is the new OIL, and if consider Snowflake the new Exxon, and Shell the new Databricks and Mobil the new AWS - they are all as competitive as ever.