Praveen Vardaraju
Champaign,IL
Summary
Specializes in developing high-performance backend systems using Java 8+, object-oriented design, and distributed computing frameworks. Experienced in building microservices, Kafka-based streaming pipelines, and integrating Apache Spark and Flink for data processing. Proficient in creating RESTful APIs with SQL and NoSQL databases. Skilled in cloud-native environments, CI/CD practices, and Git workflows for system stability and scalability.
Overview
1
1
year of professional experience
Work History
DevOps Engineer
DATARA
11.2025 - Current
- Implemented and enhanced components of a distributed backend platform that processes real-time and batch workloads, supporting data movement and processing across multiple regions.
- Built and maintained CI/CD pipelines to enable continuous deployment of microservices, significantly reducing production release turnaround by 10.4 hours per sprint.
- Implemented event-driven data processing workflows using Apache Kafka, handling billions of monthly events for latency-sensitive demand and pricing systems.
- Integrated distributed data processing frameworks such as Apache Spark and Flink to support batch and real-time workloads, optimizing data pipelines and reducing end-to-end processing latency by 7.8 seconds per batch.
- Developed and exposed well-structured RESTful APIs to support scalable backend services, ensuring reliable data access and service-to-service communication.
- Applied monitoring and observability practices to track system performance and stability at scale, improving reliability across high-throughput distributed services.
Software Engineer
Argyll Infotech Inc
06.2025 - 11.2025
- Implemented a Kafka-based messaging flow to publish and consume events, gaining practical experience with partitioning, offsets, and consumer groups.
- Built a REST-based service to expose processed data to downstream systems, learning how to design stateless APIs and request-response workflows.
- Created a basic streaming workflow to process incoming events and explored stateful vs stateless processing concepts using stream processing frameworks.
- Implemented simple batch data processing logic to handle large datasets and understood performance considerations in distributed data processing.
- Learned and applied CI/CD fundamentals by automating build and deployment steps, gaining exposure to version control workflows and deployment pipelines.
- Added basic metrics and logging to understand service behavior, latency, and failure scenarios in a distributed system setup.
Education
Master of Science - Computer Systems Technology
Eastern Illinois University
Charleston, Illinois, IL05-2025
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Skills
- Python and Java
- Microservices architecture
- RESTful APIs
- Cloud-native systems
- CI/CD automation
- Jenkins and GitHub Actions
- Event-driven architecture with Apache Kafka
- Monitoring and observability with Prometheus and Grafana
Timeline
DevOps Engineer
DATARA
11.2025 - Current
Software Engineer
Argyll Infotech Inc
06.2025 - 11.2025
Master of Science - Computer Systems Technology
Eastern Illinois University