About

Aditya Rathi is an experienced Python certified Data Engineer/ Consultant with hands-on experience in developing end-to-end solutions. Currently working as a Developer at Amdocs, he is responsible for the development and configuration of real-time ETL processes using Apache Kafka, Spark, and HDFS. He ensures end-to-end loading of daily data into Oracle and PostgreSQL databases using Python parsers and reducing it into CSV files for ETL jobs. Aditya has also designed and developed ETL jobs and stored procedures, and programmed, scripted, and automated using Python. Aditya has a total of 8.77 years of relevant experience in the field of ETL, Python, Data Warehouse, SQL, HDFS, Spark, product management, Data Engineering, Kafka, and Software Engineering. He has previously worked as a Software Development Consultant at Saksoft, where he was responsible for ETL development, DWH expansion, and SharePoint development. He has designed new dimensions and facts based on client interaction and high-level design notes, expanded the Data Warehouse to serve more KPIs by adding facts and dimensions, and captured and loaded Google Analytics data to Data Warehouse. Aditya has also worked as a Senior Developer at CRMnext, where he developed ETL packages for data loading and SSRS reports for dashboards, and monitored and maintained ETL packages. Aditya has an Engineer's Degree in Information Technology from the Institute of Technology & Management, where he studied from 2007 to 2011. Aditya has worked on various projects, including an analytics-driven scalable platform providing a unified workspace for all networks from GSM to 5G-NR optimization activities. The platform allows country-wide analysis and benchmarking, using a mixture of drive, indoor, CM, PM, and subscriber trace data sources from across the network. In summary, Aditya Rathi is a skilled Python certified Data Engineer/ Consultant with hands-on experience in developing end-to-end solutions. He has a total of 8.77 years of relevant experience in the field of ETL, Python, Data Warehouse, SQL, HDFS, Spark, product management, Data Engineering, Kafka, and Software Engineering. Aditya has worked on various projects, including an analytics-driven scalable platform providing a unified workspace for all networks from GSM to 5G-NR optimization activities.