Summary
Dev Patel is a results-driven data engineer with 13 years of experience building cloud-native lakehouse and real-time data products, now at Meta in the San Francisco Bay Area. He specializes in Spark/Delta, PySpark/SQL, dbt, streaming ETL, and end-to-end delivery including MLOps with MLflow, Docker/Kubernetes, and CI/CD. His work spans GCP, BigQuery/BigLake and Azure Databricks, where he’s architected medallion pipelines, backfilled multi-decade datasets, and improved query performance and operational SLAs. Notably, he combined transfer learning and Vertex AI to classify phenophases from iNaturalist images and built scalable SparkNLP workflows to process 10,000+ 10-K filings for risk analysis. Detail-oriented and continually learning, he pairs analytics engineering with practical observability to turn complex data into dashboards and production-ready ML assets.
13 years of coding experience
1 year of employment as a software developer
HSC board (Higher Secondary Certificate), Science, HSC board (Higher Secondary Certificate), Science at Nirmala Memorial Foundation College of Commerce & Science
Master of Science - MS, Data science, Master of Science - MS, Data science at Indiana University Bloomington
SSC board (Secondary School Certificate), SSC board (Secondary School Certificate) at Dr. S. Radhakrishnan International School Borivali
Bachelor of Engineering - BE, Information Technology, Bachelor of Engineering - BE, Information Technology at University of Mumbai