Chris Tomaski

Background

About Chris Tomaski

Dynamic and collaborative Senior Data Engineer with ten years of progressive experience spanning fintech, healthtech, and adtech. Expert at translating complex business requirements into high-performance data solutions with low latency. Skilled in crafting efficient code, building scalable infrastructures, and optimizing pipelines for actionable insights. Fluent in Python, SQL, Scala, and C, with proven expertise in Kafka and Airflow and platforms including AWS, Hadoop/Cloudera, and Spark. Equipped with a strong foundation in data warehousing, ETL, and data architecture, with a solid grasp of Agile and Scrum methodologies. A committed advocate for data engineering best practices and the relentless pursuit of continuous improvement. Currently leading a greenfield effort to build a dynamic digital referential graph. Recognizing that digital data is ephemeral, often disconnected from traditional data sources, and that LLMs struggle with non-linguistic content, I am designing a graph that relies on algorithmic agents rather than rigid rules. These agents, which possess internal states and goal-seeking behaviors, autonomously form associations with other nodes. This innovative approach has the potential to reveal unexpected patterns and insights as the system evolves.