About

Javed Akhter is a skilled Data Engineer with over 3 years of experience in building scalable systems for ingesting, processing, storing, and managing large volumes of data. Currently serving notice at EPAM Systems, Javed's expertise lies in Data Ingestion, Data Cleansing, Data Standardization, and Data Transformation. He is proficient in creating Pyspark scripts to invoke Spark jobs on a cluster and writing orchestration using Airflow. Javed is a proactive team player who has been involved in client meetings to understand problem statements and requirements. He has also contributed to Design Documentation, Estimation of tasks, Analysis, Development, Unit Testing, and Cross testing of modules developed by other team members. Prior to his current role, Javed worked as a Data Software Engineer (A1) at EPAM Systems and Software Engineer 1 at Maq Software. At Maq Software, he delivered projects using an agile model that involved daily huddles, code reviews, weekly review meetings, and retrospectives. He used Azure components like Azure Data Factory and Databricks to perform various ETL operations for developing BI solutions. He also worked on a project based on Text Analytics (NLP) where he built an unsupervised model to classify survey data into Informative/Non-informative. Javed holds a Bachelor of Technology degree from West Bengal University of Technology, Kolkata, and completed his 10+2 education in Science from St. Thomas's Day School. He is well-versed in Software Engineering, Data Engineering, Spark, Apache Airflow, Azure, Databricks, NLP, and ETL. Overall, Javed is a highly motivated and skilled Data Engineer with a proven track record of delivering successful projects. He is a fast learner and always eager to take on new challenges in the field of Data Engineering.