Sathish Ramasamy
About Sathish Ramasamy
Sathish Ramasamy is a Senior Data Engineer at Keap in Chandler, Arizona, with extensive experience in data engineering and database management. He has worked in various roles across multiple companies, specializing in data architecture, ETL processes, and cloud technologies.
Work at Keap
Sathish Ramasamy has been employed at Keap as a Senior Data Engineer since 2021. In this role, he focuses on managing and optimizing data systems to support the company's operational and analytical needs. His work involves leveraging various data technologies to enhance data processing and reporting capabilities.
Previous Experience in Data Engineering
Before joining Keap, Sathish Ramasamy held several positions in data engineering. He worked at Discount Tire as a Principal Data Engineer for nine months in 2020-2021, and prior to that, he served as a Senior Data Engineer at Brightside for two years from 2018 to 2020. His earlier roles include Data Warehouse Specialist and Senior Database Engineer at LifeLock, where he gained significant experience in data management.
Educational Background
Sathish Ramasamy obtained his Bachelor of Science (B.Sc.) in Computer Science from Bharathidasan University, studying from 1996 to 1999. He furthered his education by earning a Master of Science (M.Sc.) in Computer Science from the same institution, completing his studies from 2000 to 2002. This educational foundation has equipped him with essential knowledge in data engineering.
Technical Skills and Certifications
Sathish Ramasamy possesses a diverse skill set in data engineering technologies. He manages various databases, including BigQuery, Snowflake, and Oracle, and employs ETL tools such as DBT and Talend. He holds certifications in SnowPro Core, MongoDB, and Oracle, which demonstrate his expertise in these areas. His proficiency extends to cloud platforms like GCP, AWS, and Azure.
Data Architecture and Modeling Expertise
Sathish Ramasamy specializes in designing and implementing data architectures that align with business objectives. He focuses on creating and optimizing data models to enhance analytics and reporting capabilities. His experience includes utilizing Mesh architecture for improved data exchange and implementing snapshot strategies for historical data analysis.