Rss
Contact_user

Daniel R

Director of IT Operations and Architecture

Occupation:

Lead Developer

Location:

Hallandale, FL

Education Level:

Associate

Will Relocate:

YES

CollapseDescription

Summary Solutions oriented IT Operations Director and Systems Architect with notable success in designing and implementing Service Delivery Platforms. Experienced in service delivery system migrations and growth planning of multi-site multi-cloud hybrid IT systems at global scale. Experienced in vendor negotiations, coordination, planning, and budgeting of infrastructure platforms as well as cloud infrastructure (private and public) services. Over 20 years of experience ranging from Systems Administration, HPC cluster design, IT Systems Management, Network Architect, Dev-Ops, and Service Delivery Operations and Architecture as a leader and implementor. Build teams, and networks solutions through ownership of the project/organization by valuing teamwork and communication.

Right_template4_bottom

CollapseAccomplishments

Highlights:

2014 I.E. Big Data Start Up Innovation Award Talksum, Inc., a leader in high-speed data processing and management solutions, today announced it has won under my leadership the Big Data Start Up Award given at the Big Data Innovation Summit, Santa Clara, CA. The award was based on the company’s mission and its flagship product, the Talksum Data Stream Router (TDSR), which helps IT and data centers manage Big Data for applications that require massive amounts of processing.2011 & 2012 Fusion IO Mongodb Record Setting Cluster   2011 - 300,000 random read/writes per second to a MongoDB cluster on the FusionIO PCI SSD storage product. 2012 - 500,000 random read/write per second to a MongoDB cluster after normalization of the data stream by accelerating the ETL processes.
Left_template4_bottom

CollapseKeywords

Left_template4_bottom

CollapseResponsibilities

IT architecture, data and cost modeling, deployment solutions, monitoring, metrics, and operational procedures in private and cloud based data systems using open-source solutions. Experienced in all operating systems (LINUX, BSD, Windows, OSX, and embedded systems), distributed databases (SQL, NoSQL, In Memory, Cached), Network Architecture, Storage Layers and Services, Cloud Computing and Virtualization (AWS, Docker, KVM/Qemu, LXC, LXD, IoT). Internal Dev-Ops architecture for data ingestion and normalization of all system, platform and application data. Data driven systems that provide usable information/KPIs in real-time to serve as a function of application services, monitoring of service platform, and business KPI rules.
Left_template4_bottom