Dynamic and experienced data engineer with certifications in Google and Snowflake, I bring a wealth of expertise in developing high-performance, scalable, and secure data solutions. With 7+ years of experience in Python and PySpark development, I have a deep understanding of data architecture, cloud infrastructure, and data warehousing. My strong skills in Apache Iceberg enable me to process and manage data at scale.
I have proven expertise in designing, developing, and deploying enterprise-level data solutions on the cloud. My proficiency in building data-intensive applications in Snowflake, coupled with my expertise in dimensional designing of table structures, has enabled me to deliver innovative data solutions that drive business growth and productivity.
As a Python developer, I have developed API connectors for data pipelines and implemented data models using DBT for data modelling. With a strong background in data warehousing, I am capable of performing performance administration, cube development, and data integration for databases.
With my exceptional communication, Cross Team collaboration, and problem-solving skills, I am dedicated to delivering high-quality results that exceed business expectations. I am also committed to continuous learning and keeping up with the latest technologies to deliver innovative and effective solutions.
GCP: GKE, CLoud SQL, DataProc, DataFlow,PubSub