Pooja Baruah

As a Senior Data Engineer with nearly 12 years of experience, I specialize in designing and delivering scalable, efficient, and cost-effective data processing solutions. My expertise spans Databricks, PySpark, and AWS, enabling me to build robust data architectures and pipelines that empower organizations to make data-driven decisions.

I have strong hands-on experience integrating DevOps and CI/CD practices using Docker, Kubernetes, and GitHub, which has enhanced the reliability and scalability of the data workflows I manage. My deep understanding of ETL processes and data warehousing, combined with a passion for innovation, allows me to optimize performance while maintaining cost efficiency.

Committed to continuous learning and problem-solving, I thrive in fast-paced environments and enjoy collaborating with cross-functional teams to translate complex business requirements into effective data solutions that drive measurable impact.

As a Senior Data Engineer with nearly 12 years of experience, I specialize in designing and delivering scalable, efficient, and cost-effective data processing solutions. My expertise spans Databricks, PySpark, and AWS, enabling me to build robust data architectures and pipelines that empower organizations to make data-driven decisions.

I have strong hands-on experience integrating DevOps and CI/CD practices using Docker, Kubernetes, and GitHub, which has enhanced the reliability and scalability of the data workflows I manage. My deep understanding of ETL processes and data warehousing, combined with a passion for innovation, allows me to optimize performance while maintaining cost efficiency.

Committed to continuous learning and problem-solving, I thrive in fast-paced environments and enjoy collaborating with cross-functional teams to translate complex business requirements into effective data solutions that drive measurable impact.

B. Tech in Electronics and Communication Engineering