Services
Video meeting . 15 mins
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 30 mins
Priority DM . 2 days reply
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 60 mins
About me
Karan is a Big Data Engineer at AXS, a leading tech-entertainment company that is a ticketing partner for a lot of the major events that happen across the world. He carries 8 years of experience in data engineering, data integration, data warehousing, and enterprise data management, working with multinational giants like Novartis, ZS, Cognizant and Bigspark.
Karan has a passion for learning and exploring new technologies in the field of big data. He gained proficiency in using big data tools like Apache Spark, Hadoop, and Kafka, as well as Streamsets DataOps platform for real-time data processing and data quality management during his work at UK's leading data solution consulting Bigspark. He also has a masters degree with distinction in Big Data from the University of Stirling, where he deeply researched on capabilities of Apache Kafka and secured the highest marks in his dissertation project in the whole MSc. Big Data cohort.
He is always on learning journey around software engineering, data engineering, cloud technology, devops as he always wants to keep himself updated as per the industry standards.
Karan believes that every failure comes with a learning opportunity, and that the process and approach are more important than the outcomes. He is always excited about solving business problems with data-driven solutions, and collaborating with diverse teams and stakeholders. He aims to leverage his skills and knowledge to deliver value and impact for his current and future clients and employers.
- Navneeit praises Karan for his expertise and ownership in master data implementations, particularly in Informatica and Reltio MDM solutions. He also highlights Karan's involvement in business development and expresses optimism about working together soon.AI-generated from recommendations on