Proven experience in designing, architecting, and implementing large-scale Snowflake-based data solutions.
Hands-on experience in ETL/ELT pipelines, batch and streaming data, and data lake/lakehouse architectures.
Solid expertise in Snowpipe, Streams & Tasks, and performance optimization.
Hands-on experience with DBT (Data Build Tool) for transformation and modular pipeline development.
Solid programming skills in Python for automation, data processing, and integration tasks.
Experience in mentoring and guiding junior and mid-level data engineers.
Involvement in data migration, modernization, and cloud integration projects.
Ability to collaborate with data architects, business stakeholders, and cross-functional teams to define enterprise data strategies.
Experience with DevOps, CI/CD, and workflow orchestration for production-grade pipelines.