Kamlesh Madnani
About Kamlesh Madnani
Kamlesh Madnani is a Senior Solutions Specialist with extensive experience in data management and analytics. He has held various technical roles across multiple companies, including Ooredoo Qatar and Tech Mahindra, and has a strong educational background in Computer Science and Engineering.
Current Role at Confidential
Kamlesh Madnani currently serves as a Senior Solutions Specialist at Confidential, a position he has held since 2022. Based in the London Area, United Kingdom, he is responsible for providing solutions that meet client needs and enhance operational efficiency. His role involves leveraging his extensive experience in data management and analytics to deliver effective solutions.
Previous Experience at Ooredoo Qatar
Before his current role, Kamlesh worked at Ooredoo Qatar from 2018 to 2022 as a Senior Analyst in Data Warehousing. He led the Data Management and Analytics Team, focusing on designing, managing, and implementing Data Warehouse and Big Data solutions. He was responsible for the end-to-end management of projects and served as IT Delivery Manager for complex development and enhancement projects.
Career at Tech Mahindra
Kamlesh held multiple positions at Tech Mahindra between 2010 and 2014. He started as a Senior Technical Associate, progressing to Technical Lead - Onsite in Slough, England, and later served as a Technical Project Lead in Pune, India. His roles involved leading teams and managing technical projects, contributing to his development in project management and technical expertise.
Educational Background
Kamlesh completed his Bachelor of Engineering in Computer Science and Engineering from Rajiv Gandhi Prodyogiki Vishwavidyalaya from 2002 to 2006. He also attended Cloudera University in 2019, where he received training in data analysis tools including HDFS, Sqoop, Hive, Impala, Map Reduce, and Spark. His foundational education includes studies at Nalanda Public School and Kopal Higher Secondary School.
Technical Skills and Expertise
Kamlesh possesses hands-on experience with Big Data ingestion tools such as Nifi and Streamsets Data Collector. He has utilized an 18-node Cloudera Cluster for the datalake platform at Ooredoo Qatar, employing tools like Spark for transformations and Kafka for real-time streaming. He is also experienced in data discovery and reporting tools like SAP BO, Qlik Sense, and Superset.