Praveen Ravi

Data Engineer with 2.5 years of experience building scalable, cloud-native data pipelines. Skilled in Databricks, Snowflake, Airflow, PySpark and DBT. Recently built Databricks and Snowflake AI agents to enable natural language querying and autonomous pipeline management.

Data Engineer at Mr.Cooper (2024-01 – Present)

• Migrated enterprise ETL workflows to PySpark on Databricks, and built a reusable PySpark framework to standardize and automate day-to-day job execution across pipelines
• Migrated 150+ tables from SQL Server to Snowflake, enabling a centralized, cloud-native analytics environment
• Scheduled and managed data pipeline jobs using Apache Airflow
• Optimized long-running Snowflake queries by defining clustering keys on frequently filtered columns, enabling efficient partition pruning and reducing data scanned, leveraged materialized views to pre-aggregate frequently queried data, minimizing redundant computation 1 hour to 10 minutes
• Built a Sentence Transformer-based NLP model to compare CPA and Co-op customer records, calculating a similarity score and generating a clear explanation of differences, detecting matches despite spelling variations, punctuation differences and suffix mismatches
• Built a data mart on Snowflake by designing and implementing fact and dimension tables and leveraging materialized views to pre-aggregate and persist frequently queried data enabling business teams to access curated, subject-specific data for faster and more efficient reporting and analytics

Bachelor of Engineering (B.E.) in Computer Science and Engineering (2020 – 2024)