📌Results-driven Software Engineering Leader specializing in data platforms, ML ops, and backend engineering. Expert in high-performance distributed systems, microservices, and scalable applications using modern data frameworks. Hands-on experience in developing data infrastructure, full-stack applications, microservices, DevOps automation, data pipelines, ML pipelines, vector databases, RAG retrieval, and AI projects on cloud and on-premise platforms. Proven track record in Fintech, delivering robust, scalable solutions in dynamic environments. Product-centric with a strong emphasis on aligning engineering with business goals and fostering cross-functional teamwork to drive innovation.📌 Signature Strengths • Data Platform Architecture, Management, Integration and Engineering • Full Stack and Large Distributed Microservices Architecture and Engineering • Cloud Migration and Orchestration, build cloud native services. • Data Infrastructure Optimization • Machine Learning Model Project Development/Deployment • Technical Team Leadership and Scaling/Global workforce/Lean-Agile process/Performance management • Translating technical details with executive team into actionable business insights📌 Notable Achievements - Increased production environment stability by 90% at US Bancorp through proactive monitoring and incident response. - Generated over $10M in recurring quarterly revenue at Skillz via fast data architecture and real-time segmentation implementation. - Reduced user acquisition costs by $4M annually at Skillz through machine learning model deployment. - Orchestrated seamless data migration during acquisition activities at US Bancorp and UnionBank. - Scaled high-performing data teams from 2 to 40+ engineers within two years at a gaming startup.📌 Technologies • Tooling: Cassandra, Snowflake, Redshift, AWS RDS, DynamoDB, Redis, Memcache, AWS Kafka, Spark, Segemaker, Apache Flink, Streamsets, Kubernetes, Airflow, DBT, Datadog, MLFlow, Great Expectation, Tableau, Okta • Architecture/Framework: Modern Data Infrastructure, Micro-Services, SaaS, PaaS, Unified Data Infrastructure, Functional Data Engineering, Lambda/Kappa Architecture, Lakehouse, Data Modeling, Data Governance & Privacy, Reactive Programming model • Language: Python, Java, Scala, Object-oriented and Functional Programming