Ajmal Moideen
About Ajmal Moideen
Ajmal Moideen is a Senior Software Developer with extensive experience in software development and data engineering. He has worked at notable companies such as Tata Consultancy Services, EY, and McKesson Compile, where he has implemented solutions that improved data quality and reduced infrastructure costs.
Work at McKesson Compile
Ajmal Moideen currently serves as a Senior Software Developer at McKesson Compile, a position he has held since 2021. In this role, he contributes to software development projects, focusing on enhancing system performance and reliability. His experience in managing and optimizing data pipelines plays a crucial role in meeting the demands of the organization.
Previous Experience at Tata Consultancy Services
Ajmal Moideen worked at Tata Consultancy Services as a Test Automation Engineer from 2014 to 2017. During his three years in Kochi, India, he focused on developing and implementing automated testing solutions, which contributed to improving software quality and efficiency in project delivery.
Experience at EY
Ajmal Moideen held multiple roles at EY, including QA Automation Lead from 2017 to 2020 and Cloud Engineer from 2020 to 2021. In these positions, he led automation initiatives, optimized ELT pipelines, and managed cloud resources, enhancing operational efficiency and reducing incidents of pipeline failures.
Education and Expertise
Ajmal Moideen earned a Bachelor's Degree in Electrical and Electronics Engineering from Govt Model Engineering College, Thrikkakara, from 2010 to 2014. He furthered his education by obtaining a Master of Science in Computer Science with a focus on Artificial Intelligence and Machine Learning from Woolf, studying from 2023 to 2024. Additionally, he completed a Data Science and Machine Learning program at Scaler from 2022 to 2023.
Technical Skills and Achievements
Ajmal Moideen has demonstrated expertise in managing AWS and Digital Ocean resources using Terraform, achieving a 15% reduction in infrastructure costs. He implemented dbt in the ELT workspace, resulting in a 30% reduction in data quality issues. His development of a Spark-based pipeline for high-volume data processing and utilization of Snowflake data warehouse further showcases his technical skills.