Summary
Gaurang Shah is a Solutions Architect with 11 years in the software industry, specializing in designing and migrating large-scale data platforms across on-prem, Azure, GCP and AWS EMR environments. He has deep hands-on experience building data pipelines and ingestion frameworks using Python, Scala and Java, and has led migrations of thousands of tables and jobs into cloud data lakes and BigQuery/Databricks ecosystems. His work spans real-time CDC with Debezium, Pub/Sub and Dataflow, FinOps-driven cost transparency, and security hardening including VPC-SC, Databricks cluster policies and field-level encryption for sensitive data. Gaurang combines technical delivery with operational tooling—airflow/Composer dashboards, CI/CD pipelines with SonarQube/Veracode and Tableau FinOps reporting—to make migrations repeatable and auditable. He’s equally comfortable writing low-level ETL frameworks and collaborating with security and DevOps teams to close gaps, and has a track record of hiring and mentoring engineers during platform transformations. Based in Burlington, Ontario, he brings pragmatic cloud-first architecture and proven migration experience for enterprises modernizing legacy data estates.
11 years of coding experience
11 years of employment as a software developer
BE, Computer Science, BE, Computer Science at Sardar Patel University
English