Maniganda is an AWS certified data engineer with 10+ years of strong experience and understanding of big data ecosystems, cloud service offerings, and distributed file systems. He has technical expertise in data extraction, compaction, cleansing, enrichment, ingestion, and modeling of very large data in vital information to the business. His latest project focused on big data ecosystem components using modern technologies such as Spark Core, Spark SQL, PySpark, Kafka, HBase, Airflow, ELK stack, No SQL, Map Reduce, Hadoop, Hive, Sqoop, Oozie, and more.Hire Maniganda
Use case to implement the Kafka schema registry to maintain the evolving schema from the application and make it into plug-and-play type of architecture.
A project to migrate from the on-premise solution to the Serverless fashion approach in Microsoft Azure. It had a manual team of 4 members in size early on and has proposed and productized the solution in a Serverless fashion in Azure successfully.
Worked on new modules and features by following best practices of coding and process. POC preparation and technical support for production issues.