Senior Solutions Engineer @ Databricks

I’m a senior data engineer, entrepreneur, and MBA graduate with 18+ years of experience architecting, building, and optimizing cloud-native solutions. My track record includes spearheading large-scale data engineering initiatives, launching a SaaS startup, and orchestrating cross-functional teams—both in-person and remote—to deliver impactful business outcomes. • AWS & Cloud Modernization: Adept at leveraging AWS services (e.g., S3, Lambda, SageMaker, EKS, ECS, DynamoDB, Aurora, Glue) to modernize data architectures and streamline operations. I apply cost-optimization strategies and auto-scaling best practices to ensure systems are not only high-performing but also financially efficient. • Data Engineering & MLOps: Successfully architected data pipelines and ML infrastructures using technologies like Databricks, PySpark, dbt, Snowflake, Google BigQuery, Airflow, Kubernetes and Airbyte. My MLOps approach emphasizes CI/CD automation (ArgoCD, Jenkins, Github Actions) to accelerate model development, deployment, and monitoring. • Entrepreneurial Leadership: As Founder & CEO of an AI-driven SaaS startup, I designed the cloud architecture for AI-based curation, led marketing and sales efforts, and managed distributed teams. This blend of business and technical acumen fuels my ability to drive innovation and commercial viability. • Cross-Functional Collaboration: I thrive in dynamic environments that require close alignment with stakeholders, from C-suite executives to data scientists. My experience spans building data warehouses, implementing change data capture (CDC) solutions, and developing real-time prediction capabilities for mission-critical applications. I’m passionate about bridging the gap between technology and business—optimizing systems, processes, and products to deliver tangible value. Let’s connect if you’re looking to modernize your data ecosystem, enhance ML initiatives, or scale cloud solutions using AWS.