Viacheslav Rodionov

• Developed wattwise-core, an open-source analytics platform combining deterministic metric computation, information retrieval, and agentic reasoning. Recommendations must be supported by computed metrics or retrieved evidence; unsupported conclusions are rejected. • Developed RankRaid, an agentic document-generation system with claim-level source verification and validation of the final rendered output. Generated PDFs are checked against the source material to detect fabricated claims, missing information,

• Architecture & Data Mesh: Led the design of Data Mesh architectures for Qualcomm and BMW autonomous driving platform. Delivered a Data Lineage solution running on a distributed Kubernetes cluster, utilizing a graph-based approach with ArangoDB for complex metadata management. • Advanced Data Lake Strategy: Architected a migration replacing Elasticsearch with Apache Iceberg, leveraging modern ACID capabilities, Time Travel for versioning, and Schema Evolution to efficiently enrich complex nested data stru

• Technical pre-sales and tender/RFP support for large German industrial and logistics customers, preparing solution architecture narratives, technical documentation, and delivery assumptions. • Architected OpenMetadata-based Data Lineage and Data Governance solution patterns for enterprise data platforms using Apache Spark, Python, AWS, and GCP. • Translated customer requirements from heavy machinery and port/container logistics automation domains into cloud data platform architectures focused on metadata

• Led the shift from fragile batch-heavy pipelines to a Kafka-based real-time streaming platform at production throughput in the hundreds of Mbit/s. • Engineered a declarative, extensible hybrid Spark framework (Python and Scala) to improve developer enablement, allowing teams to reuse execution patterns instead of writing bespoke integrations. • Handled platform-critical queries proactively directly with the CEO while remaining deeply hands-on in technical implementation and roadmap definition. • Enabled a

• Led the Big Data segment of a major data center migration involving 700+ assets, orchestrating fault-tolerant setups and rapid troubleshooting. • Engineered distributed storage integration between HBase and Couchbase to resolve scalable write-heavy conflicts with low-latency read access requirements.

• Developed a data integration framework for HBase/Couchbase integration. • Developed own Big Data parsing framework in Scala for schema-autodetection. • Built a report automation platform based on Hive, Python and Azkaban.

• Established the internal Big Data department from scratch by fulfilling a key technical consulting role to define technology directions and hardware architectures. • Contributed heavily to Big Data projects in the BMW HAF self-driving-car project, including large-scale data fusion and computer vision platforms. • Experience delivering technical workshops or training to engineering teams to present distributed data and novel Big Data concepts directly to stakeholders and align pilot goals. • Experience bui

• Acted as a presales-oriented solutions architecture expert, handling end-to-end architecture definitions, capability demonstrations, and estimating for large financial institutions. • Designed complex system integration and SOA landscapes leaning on IBM WebSphere and IBM MQ patterns. • Built a pilot Hadoop-based fraud-detection system integrating Java, J2EE, Scala, Python, Pig, and Oozie. • Delivered a Scala and MongoDB-based document management system for secure contracting workflows. • Created service r

• Delivered deep technical consulting and business process integrations for top Russian and European banks utilizing Java EE and IBM WebSphere MQ, IBM WebSphere ESB and IBM WebSphere Message Broker platfroms. • Built reusable software components to orchestrate end-to-end loan and credit bureau workflows, proving proficiency in complex system integration scenarios. • Secured complex production environments through continuous performance tuning, architecture stabilization, and operational support