Summary
Jeffrey Mattam is a data engineer with roughly a decade of experience designing and delivering scalable data integration solutions, currently building pipelines at CarTrawler in Dublin. He specializes in Apache Airflow and Python for complex DAG design and automation, and in Snowflake for optimized ingestion (Snowpipe), time travel debugging and Snowpark-driven Python/SQL workflows. His background includes Azure Data Factory, Databricks/PySpark, Informatica PowerCenter and MPP systems like Netezza and Teradata, giving him fluency across both cloud-native and legacy enterprise stacks. Having supported data platforms at Volvo Group and advisory work at EY, he pairs engineering rigor with business-aware delivery. Colleagues value his knack for crafting custom Airflow hooks/operators to address nuanced business requirements and for surfacing subtle data quality issues before they reach analysts.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (BTech) Electronics and Communications Engineering, Bachelor of Technology (BTech) Electronics and Communications Engineering at Model Engineering College
English, German, Malayalam