About

Anzar Ahmad is a Technical Leader at Aricent Technology with over 9 years of relevant experience in the field of software engineering. Currently, he is working with Capgemini and leading the development of a generic framework that generates and measures KPIs on data collected from end devices, applying static thresholds to the KPIs for analysis. Anzar has extensive experience in installing, configuring, and updating Big Data tools on Linux OS and is familiar with Linux OS and its commands. He has worked with Hadoop ecosystem tools such as HDFS, Spark, Sqoop, Hive, MapReduce, YARN, and Apache Airflow. He has also scheduled Spark jobs using Airflow over the cluster. Anzar has experience with AWS tools like EC2, S3, and EMR Services. He is well-versed in Agile Software Development Methodologies, GIT, and Bit Bucket. Additionally, Anzar has experience in Native Android Development with Java and User Experience Design. Anzar has previously worked with Iris Software Inc. as a Technical Consultant and with Chetu as a Sr. Associate. At Iris Software, he worked as a Spark Developer, and at Chetu, he was responsible for creating application architecture, code review, and handling the development process. Currently, he is working on the POS Transaction Analysis project using Hive, PySpark, Sqoop, and HDFS. Anzar holds a Bachelor of Technology (B.Tech.) degree in Computer Science from DNS College of Engineering and Technology, Didauli. He is skilled in Spark, Apache Airflow, AWS, HDFS, Android, MapReduce, Big Data, Hadoop, Java, Apache Hive, and Parts-of-speech. Overall, Anzar is a highly skilled Technical Leader with a vast range of experience in software engineering and Big Data. He is a great team player and has excellent communication skills.