Staff Data Engineer

I design and develop scalable big-data platforms and distributed data-processing solutions for enterprise healthcare applications. I build high-volume batch and streaming pipelines using Apache Spark, Scala, Kafka, and SQL, while architecting reliable ETL/ELT workflows for healthcare datasets.

I improve pipeline performance through Spark optimization, partitioning strategies, caching, and distributed-computing practices. I develop reusable processing frameworks and cloud-based solutions using AWS, Azure, Docker, and Kubernetes, and provide technical leadership through architecture discussions, code reviews, troubleshooting, and engineering best practices.

I also design cloud data architectures and distributed workflows in Scala and Apache Spark. I build backend and microservice-based applications with Play Framework and HTTP4s, create reusable service templates, and collaborate with engineering teams to improve scalability, reliability, and performance.

Designed and implemented scalable data architecture solutions for cloud-based applications.
Developed distributed data processing workflows using Scala and Apache Spark.
Built backend services and microservice-based applications using Play Framework, HTTP4s, and modern Scala technologies.
Created reusable service templates and engineering patterns to improve application scalability.
Developed Spark-based data processing solutions demonstrating large-scale analytics workflows.
Implemented containerized applications using Docker and Kubernetes.
Collaborated with engineering teams to improve system reliability, scalability, and performance.

I built enterprise-scale data lake and ETL pipelines supporting spend analytics platforms. I developed large-scale processing applications using Apache Spark and Scala and designed data-ingestion and transformation workflows using Kafka, Hive, HDFS, and Cassandra.

I optimized distributed processing jobs to improve performance, reliability, and scalability. I delivered solutions for both cloud and on-premise environments and developed reusable Spark examples and engineering patterns for large-scale analytics processing.

I progressed from Software Engineer to Engineering Lead while delivering scalable backend and data-intensive solutions for recruitment technology platforms. I led engineering initiatives, provided technical direction, and designed high-volume backend services using Java, Scala, and SQL.

I improved data quality and processing efficiency by optimizing profile-identification and data workflows. I introduced Scala development practices, created reusable microservice templates, and helped modernize engineering processes.

I delivered internal training on distributed computing, Apache Spark architecture, and big-data processing. I also conducted Apache Spark workshops covering Spark development, data processing, and machine-learning workflows.

Final CGPA: 3.90