Teams at aKube Inc

Build and enhance a knowledge graph-based application using React, Go, and GraphQL. Develop scalable APIs, distributed-system integrations, and production-ready features from prototype through deployment. Collaborate with product, architecture, platform, data, and engineering teams; conduct code reviews, testing, documentation, troubleshooting, and reliability improvements. Use AI-assisted development tools responsibly to improve productivity while maintaining code quality.

Modernize legacy IBM DataStage ETL/ELT workloads by re-engineering them as scalable Databricks and Spark pipelines on AWS. Responsibilities include migration assessment, pipeline development, testing, data validation, CI/CD automation, production cutover, stabilization, legacy decommissioning, documentation, and technical training. The role performs parity, unit, functional, UAT, regression, and performance testing while supporting application redeployment and operational readiness.

Architect and lead the modernization of legacy IBM DataStage ETL/ELT pipelines to scalable Databricks and AWS data platforms. Responsibilities include migration strategy, architecture standards, governance, CI/CD, testing, data quality, observability, lineage, cutover, hypercare, legacy decommissioning, documentation, and technical direction for engineering teams.