
Accomplished Data Engineer at Mphasis, adept at designing and optimizing scalable data pipelines with Scala and Apache Spark. Proven expertise in real-time streaming applications and ETL/ELT processes on Azure Databricks. Strong problem-solving skills ensure data quality and reliability, driving efficiency in high-volume data environments.
Programming: Scala
Big Data: Apache Spark, Spark Structured Streaming
Messaging: Apache Kafka (Offsets, Partitions, Consumer Groups)
Cloud Platform: Microsoft Azure
Data Platform: Azure Databricks
DevOps: Azure DevOps, CI/CD Pipelines
Data Processing: Batch Processing, Real-Time Streaming, ETL/ELT