Summary
Veeresh Sajjan is a Data Engineer with over 10 years of experience building scalable big data and cloud-first solutions, currently focused on migrating PySpark/Databricks workloads to Python and BigQuery on GCP. He brings deep hands-on expertise across the Hadoop ecosystem, PySpark, Airflow, Vertex AI, and ETL/data warehousing for both structured and unstructured data, with a practical eye for feature engineering and production model inference. At UST he partnered directly with US stakeholders (including Walmart) to design automated, enterprise-grade pipelines and optimize transformations for cost and performance. Comfortable in Agile/Kanban teams, he pairs strong Linux/shell and Git practices with workflow orchestration (Oozie, Airflow, Cron) and YAML-driven job management. Colleagues know him for clear client communication and a knack for distinguishing preprocessing/migration work from inference concerns to streamline end-to-end ML/data workflows.
9 years of coding experience
8 years of employment as a software developer
Master of Computer Applications (MCA), Computer Science, Master of Computer Applications (MCA), Computer Science at Surana PG Centre Bangalore