Muhammad Mehmood

Migration of Stc Data lake from Hadoop 2.x to 3.x. Setup of Confluent Kafka 6.2 on AWS and OnPrem Clusters. Implemented SSL/SASL for Kafka Cluster and Integration with Source/Target Applications.. Development of optimized data pipelines for data Data lake using Airflow.

Responsible for managing a team of 8 Engineers and various business/technology stakeholders. Developed a comprehensive reporting model for MFS that enabled cross-departmental analytics. Developed ETL pipelines and automated controls using shell scripts to ensure data quality and process monitoring. Developed customers’ dormancy, lifecycle and profile marts for data science and CVM Teams. Developed analytical reports and dashboards for C-level management to monitor all business KPIs.

Developed workflows on Hadoop to ingest Big Data streams like DPI in Near-Real time. Developed Data Lake and Marts on Hadoop/DWH to provide DPI and MSC data in reporting layer. ETL pipelines to transform raw network counters into measurable Key quality indicators. Responsible for data discovery and generating actionable insights using DPI and Signaling data. Implemented various Industry use cases to monetize unexplored Big Data streams.

Technical lead for automation and optimization of BSS operational systems on Linux/Unix platform. Managed data ingestion and archiving across all BSS platforms to ensure accurate reporting. Provided technical consultancy to ensure effective integration of different system components. Preparation of technical documentation for design specifications, UAT, test procedures and audits.

CGPA: 3.5 Courses: Algorithms and design Data Structures Object oriented programming Advanced Programming System programming Database management systems Artificial Intelligence Software Engineering Operating systems Statistics Advanced Mathematics Calculus Discrete Mathematics Networks and communications