Ronak Shah

Experienced Data Engineer with a strong background in building and optimizing scalable data pipelines and modern data platforms. Proficient in cloud data warehouses including Amazon Redshift, Google BigQuery, and Snowflake, with hands-on expertise in ETL/ELT development, dbt, and orchestration tools like Apache Airflow and Talend. Skilled in leveraging cloud platforms such as AWS, GCP, and Azure to deliver reliable, high-performance data solutions for analytics and business intelligence.

Over 3 years of experience in designing, building, and maintaining modern data pipelines and cloud-based data platforms. Proven expertise in data warehousing and ETL/ELT development using tools like dbt, Apache Airflow, and Talend, with deep hands-on experience in Snowflake, Amazon Redshift, and Google BigQuery. Strong background in cloud ecosystems including AWS, GCP, and Azure, delivering scalable, cost-efficient solutions that support analytics, reporting, and machine learning use cases.

Adept at improving data reliability, performance, and governance through best practices in modeling, orchestration, and pipeline automation.

Lambton College, Toronto, Ontario(2023-2024)