Steven Martinez

At Vedan Technologies, I designed a cloud-based data platform that became the backbone for AI initiatives, processing millions of records daily. I build scalable pipelines and production-ready data services for machine learning workloads.

I use Python, SQL, Apache Spark, and cloud infrastructure to build batch and streaming workflows, integrate databases and APIs, and improve data availability. I also implement data validation, lineage, monitoring, security controls, and governance practices.

Previously at SyveraTech, I built production ETL/ELT pipelines and AWS-based cloud solutions, deployed Apache Airflow, and introduced Docker and Kubernetes for consistent deployments. At Decimalz, I automated CI/CD, delivered Google Cloud solutions, and supported data workflows and observability frameworks.

I contribute to data architecture and engineering standards, mentor junior and mid-level engineers, and work closely with data scientists, machine learning teams, and software engineers. I use Terraform, automated testing, and CI/CD to make cloud data environments reliable, secure, and efficient.