Sam H. — DevOps Engineer

Chief data architect with 10+ years of experience designing, building, and scaling cloud-native data platforms across fintech, payments, SaaS, supply chain, and identity & security domains. Strong focus on real-time data processing, streaming architectures, and modern lakehouse platforms used for analytics, reporting, and product decision-making. Extensive hands-on experience with Kafka, Spark (Structured Streaming), CDC-based ingestion, and event-driven architectures, supporting high-volume, low-latency, business-critical data pipelines. I specialize in end-to-end system design from ingestion and transformation to storage, analytics, and consumption, while ensuring performance, reliability, scalability, and cost efficiency. I have led large-scale data platform transformations, including warehouse-to-lakehouse migrations, Snowflake adoption, and real-time analytics enablement using Delta Lake, Iceberg, Databricks, Trino, and Airflow. My work consistently supports data science, analytics, operations, and product teams, enabling faster insights and better business outcomes. Strong background in AWS-centric architectures (S3, EMR, EKS, EC2, IAM, Glue, RDS) and infrastructure-as-code using Terraform, with production experience in Kubernetes-based deployments. Comfortable working in distributed, cross-functional teams across time zones, aligning engineering execution with product, security, and compliance requirements common in European organizations. I operate with a product-thinking mindset: focusing on data usability, SLAs, stakeholder trust, schema governance, observability, and platform maturity, not just pipeline delivery. I have acted as a technical lead and subject-matter expert, mentoring engineers, reviewing architecture, and influencing platform-level decisions.

Stackforce AI infers this person is a Data Engineering expert specializing in SaaS and Fintech data solutions.

Experience: 10 yrs 7 mos