◆Industrial AnalyticsNDA
Industrial Analytics Platform
Distributed analytics for heavy industry
Role
Engineering Lead
Industry
Oil & Gas
Timeline
EPAM engagement
Type
Industrial Analytics
An industrial analytics platform in the Oil & Gas sector. The client is under NDA, so specifics stay high-level — but the work sat at the heart of the platform-modernization effort: reactive migrations, faster service startups, high-throughput streaming, and the production ownership that keeps a distributed system dependable.
What I owned
- Served as Lead Software Engineer, providing technical direction for backend initiatives and mentoring across the engineering teams.
- Drove the migration of 25+ Java repositories from blocking JDBC to reactive R2DBC.
- Led notification-platform modernization, coordinating Kafka schema evolution and migrating Akka events without disrupting business operations.
- Spearheaded the move from Bitnami Kafka to Strimzi and from Confluent Schema Registry to Apicurio — cutting broker startup time from ~6 minutes to ~2 minutes.
- Led migration of thousands of graph schemas from a legacy REST-based architecture to TimescaleDB, enabling near real-time updates.
- Raised automated test coverage from ~20% to ~90% across key services and introduced testing and code-quality standards.
- Resolved complex production incidents across Akka, PostgreSQL, Kubernetes, Kafka and reactive systems, owning reliability for 15+ microservices.
- Operated a distributed, event-driven platform processing millions of events from thousands of sensors and 500+ GB of Kafka data monthly.