Teams at Proclink

Leads database engineering strategy, architecture, development, performance optimization, data modeling, ETL/ELT, CI/CD, governance, migrations, and cloud modernization. Provides hands-on technical direction, reviews designs and code, mentors engineers, resolves delivery risks, and evaluates database technologies across enterprise-scale data platforms.

Leads enterprise data engineering strategy and designs scalable cloud and hybrid data architectures. Responsibilities include building high-volume ETL/ELT pipelines, modernizing data platforms, implementing governance and security, supporting streaming analytics and machine learning workloads, and establishing DataOps practices. The role provides technical leadership and mentorship, partners with data science and product teams, translates business requirements into technical solutions, and develops REST APIs and Azure PaaS solutions.

Lead an Azure integration development team delivering high-quality solutions on schedule. Oversee requirements analysis, architecture, code reviews, mentoring, REST API and Azure PaaS development, automated testing, troubleshooting, and production support. Collaborate with delivery leads and stakeholders to ensure successful project execution and team alignment.