Martin Kegel is a Data Engineer at Cognism since January 2023, specializing in building big data Spark applications using Scala, onboarding team members on Spark, and orchestrating workflow pipelines and ETLs. Martin has experience in stream processing with Akka Scala and utilizes messaging processing services like Kafka and RabbitMQ, along with extensive knowledge of AWS platforms such as EMR, Glue, Lambda, and S3. Prior to Cognism, Martin served as a Database Developer at AdScanner from July 2019 to December 2022, leading a team in developing scalable data pipelines and workflows. Earlier experience includes a role as an IT Support Technician at Mercury Processing Services International from July 2017 to July 2019. Martin holds a Bachelor's degree in Computer Programming from Tehničko veleučilište u Zagrebu and a High School Diploma from Third Gymnasium Zagreb.