Being a Bigdata and Cloud Engineer, I use to work on large datasets which are structured, Semi-structured & un-structured * Domain Knowledge: Domains which I worked and working on Banking, Retail, Server and Telecom. * Technology : Experienced on Hadoop, Spark, Scala, Pyspark, Python, HDFS, Map Reduce, Cassandra, snowflake and Hive. Experienced on Kafka connectors like Publisher and Consumer not only on -prime, work on Cloud technology which are below ☁️☁️ Azure (ADF, ADB, ADLS, Blob, SQL Database, Azure synapse, Azure Active Directory, Azure Scope HD Insight and ACL). Google Cloud Platform (Data-proc, IAM, Compute Engine, App Engine, Cloud storage, Big Table, Cloud functions, Pub-sub and Big Query. AWS (S3, EC2, Glue, Athena and EMR) Data Ingestion tool —> NiFi BI Tools —>Power Bi & Splunk Utilities —> Putty, Putty Gen and WinSCP Version Control —> Git Hub and Git Lab Enthusiastic and Started working on Machine Learning Algorithms like Linear, Logistic, Clustering , Decision tree and K-Means. Testing And tracking tool —> Jira, MQTT Lens, JMeter and Radar (Bug and Project status tool).