Paul Touma
@paultouma
Senior data engineer specializing in cloud-native, scalable data pipelines and AI-driven analytics.
United StatesWhat I'm looking for
I am a senior data engineer with deep expertise in big data, cloud platforms, and AI-driven analytics, skilled at architecting end-to-end pipelines that scale to billions of records. I have delivered reliable, cost-optimized systems using Databricks, Snowflake, dbt, Airflow, Kafka and cloud platforms.
I designed and productionized ML models (lead scoring, churn prediction, next-best-action), implemented automated monitoring achieving 99.9% uptime, and integrated EinsteinGPT/Copilot to enable AI-generated CRM experiences. I migrated petabyte-scale Hadoop to Snowflake/Databricks and reduced data preparation time by roughly 50%.
I collaborate proactively with PMs, data scientists, and analysts to align AI features with business needs, mentor engineers, and promote best practices in pipeline design, data governance, and model deployment to drive product personalization and business growth.
Experience
Work history, roles, and key accomplishments
SAArchitected large-scale Spark/Databricks and Airflow pipelines consolidating CRM and telemetry into Data Cloud, integrated EinsteinGPT/Copilot for AI-driven CRM features, and implemented Kafka+Spark Streaming to reduce insight latency from hours to seconds.
Senior Data & Backend Engineer
BoostUp.ai
Jan 2022 - Jan 2024 (2 years)
Engineered end-to-end ETL on AWS with Airflow and Snowflake, deployed ML forecasting pipelines on Databricks improving revenue prediction accuracy, and built NLP pipelines for conversation intelligence to enrich deal scoring.
SQDesigned and deployed Airflow, Databricks, and dbt pipelines to deliver analytics-ready data, migrated petabyte-scale Hadoop to Google Cloud and Snowflake, and built real-time Spark/Kafka streaming for personalization and monitoring.
Education
Degrees, certifications, and relevant coursework
Brown University
Artificial Intelligence
Completed coursework in artificial intelligence topics (specific program and dates not provided).
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Salary expectations
Job categories
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