About

Sumeet Gadkari is a skilled and experienced software engineer currently working at Innovid. With over 7 years of relevant experience in enterprise software development and data engineering, Sumeet possesses substantial technical and analytical skills. He is a problem solver, diligent, and a team player who has worked in both startup environments and big teams of fortune-rated companies. Sumeet is proficient in Python, Core Java, SQL, Bitbucket, Git, Data build tool (DBT), and Snowflake. He has intermediate knowledge of Apache Spark, AWS Redshift, Scala, EC2, S3, Data pipeline, Docker, Kubernetes, Bash, Bamboo, and Team City. Additionally, Sumeet has a beginner's level of understanding of Hadoop, R, Pandas, Scikit-learn, Go, AWS EMR, and Terraform. Sumeet's experience includes working with a team of media veterans at Innovid to build the organization's measurement analytics platform. He designed and took ownership of developing data pipelines for finding key overlap metrics between Innovid's CTV impressions and linear TV data. He was also responsible for syncing Innovid's existing databases/warehouses with Snowflake. Previously, Sumeet worked at Conversion Logic, which was acquired by VideoAmp. He contributed towards improving the platform by adding functionalities for log-processor, bug fixes for big data pipelines, and worked on the company's core Spark modules to apply new business rules on media data consumed by ML models. He also helped onboard new clients and provided on-call support to ensure smooth working of system infrastructure in the production environment by monitoring, debugging, and deploying data pipelines. Sumeet holds a Master's degree in Computer Science from California State University and a Bachelor's degree in Computer Engineering from the University of Pune. He likes to learn new data technologies and implement those to help organizations grow their data offering solutions. His tech stack includes Software Engineering, AWS, Snowflake, SQL, Spark, Bamboo, Terraform, Data Engineering, Scikit, Kubernetes, Docker, Pandas, Hadoop, Python, Scala, Java, ML, CI/CD, Big Data, test, Flask, Integration, and infra.