Senior Software Engineer
Architected enterprise Big Data platforms with exceptional reliability and led migration from legacy systems to modern cloud architecture.
Key Achievements
Role Overview
During my tenure at EPAM Systems, I played a pivotal role in architecting and implementing enterprise-grade Big Data platforms that served global Fortune 500 clients. My focus was on building highly reliable, scalable systems that could handle massive data volumes while maintaining exceptional performance standards.
Key Responsibilities
- ▸ Architected enterprise Big Data platforms with 99.9% uptime reliability
- ▸ Led migration of legacy systems to modern cloud-native architectures
- ▸ Designed fault-tolerant distributed systems for real-time data processing
- ▸ Mentored junior engineers in system design and architectural best practices
- ▸ Implemented DevOps practices and automated deployment pipelines
Technical Leadership
As a senior engineer, I was responsible for making critical architectural decisions that would impact system performance and reliability for years to come. I worked closely with cross-functional teams to ensure that technical solutions aligned with business objectives while maintaining the highest standards of engineering excellence.
Technology Stack
Big Data
Data Processing
Container Orchestration
Streaming
Search & Analytics
Cloud Platform
Programming
Containerization
CI/CD
Infrastructure
Key Projects
Enterprise Big Data Platform
Architected and implemented a comprehensive big data platform capable of processing petabytes of data with 99.9% uptime reliability.
Technologies
Key Highlights
- ▸ Designed fault-tolerant distributed architecture
- ▸ Implemented real-time data processing pipelines
- ▸ Achieved sub-second query response times
- ▸ Built automated monitoring and alerting systems
Legacy System Migration
Led the migration of 5 critical legacy systems to modern cloud architecture, reducing operational costs and improving scalability.
Technologies
Key Highlights
- ▸ Zero-downtime migration strategy
- ▸ 50% reduction in infrastructure costs
- ▸ Improved deployment frequency by 10x
- ▸ Enhanced security and compliance posture
Data Pipeline Optimization
Redesigned data processing workflows to improve performance and reliability across multiple enterprise applications.
Technologies
Key Highlights
- ▸ 50% improvement in processing speed
- ▸ Reduced resource consumption by 30%
- ▸ Implemented automated quality checks
- ▸ Built comprehensive monitoring dashboards
Career Impact & Growth
Professional Development
- Advanced expertise in distributed systems architecture
- Deep understanding of cloud-native patterns and practices
- Leadership skills through team mentoring and guidance
- Enterprise-scale system design and implementation
Foundation for Future Roles
The experience gained at EPAM Systems provided the foundation for my subsequent roles in data engineering and cloud architecture. The deep technical expertise in big data platforms and enterprise architecture directly contributed to my success at Onfido and later at AWS.