Afaque Ahmad

Afaque Ahmad is a dedicated professional with a passion for coding and a strong interest in big data and algorithmic problem-solving.

Currently employed at QuantumBlack, a McKinsey & Company, Afaque is actively engaged in addressing pressing challenges across diverse industries by leveraging his expertise in handling large datasets and extracting valuable insights.

A quick learner, Afaque is committed to continuous growth in backend development, data engineering, and related areas by tackling complex problems that push his limits.

His skill set includes proficiency in programming languages like Python and Scala, big data technologies such as Hadoop and Spark, DWH, and databases like MySQL, MongoDB, and Hive.

Afaque is well-versed in AWS services like Lambda, EC2, S3, Redshift, and more, as well as CI/CD tools like AWS CodePipeline, Jenkins, and Docker.

He also excels in server monitoring and maintenance using tools like Nagios and Icinga2, and workflow management tools including Luigi and Airflow, showcasing his comprehensive expertise in the field.

Afaque holds a certification as an AWS Certified Cloud Practitioner and completed his Master's Degree in Computer Science from the National University of Singapore.

With previous experience at Urban Company as a Software Engineer in the Data Platform team, Afaque has honed his skills and knowledge in data engineering and analytics, making him a valuable asset in the tech industry.