About Us

[vc_row overlay_dotted=”” inner_row_width=”width_three”][vc_column css_animation=”none”][vc_custom_heading text=”Concinnity Solutions was founded to address a common struggle with data analytics—managing large, complex data sets from multiple sources for presentation to data scientists and analysts.” font_container=”tag:p|font_size:18|text_align:left|color:%23333333″ use_theme_fonts=”yes”][vc_column_text]Much of the work involved with data analytics today is spent performing data preparation. A disproportionate amount of effort is involved with moving, cleaning, storing, loading, and managing access to the physical data. This reduces the time and resources available for data consumption. Some estimates put the ratio of data engineers to data scientists at five-to-one, and only around five percent of usable data makes it to a production environment due to the overhead and complexity of managing data.

Concinnity Solutions has expertise building cloud-native data solutions that simplifies the process of data ingestion and management. Our team brings decades of combined experience designing and implementing large-scale, reliable, and scalable systems. Let us implement your managed cloud data solution so you can focus on what matters—consuming, analyzing, and visualizing your data.[/vc_column_text][/vc_column][/vc_row][vc_row overlay_dotted=”” css=”.vc_custom_1514286209630{padding-top: 120px !important;padding-bottom: 70px !important;}”][vc_column width=”1/3″][obira_section_title section_title=”Alex Nelson” open_link=”true” title_size=”32″][vc_column_text]Alex has been in the role of technical lead for Fortune50 Healthcare companies since 2000 providing technical thought leadership and solution architecture. His primary focus in 2012 turned to building large scale data platforms in the cloud with a focus on automation for data auditing, cleansing, and ingestion. His primary tenets are to build simple, supportable, and automated solutions so companies can better serve their interests by focusing on utilizing their data rather than dealing with the mundane tasks that generally accompany big data solutions.

Specialties Include: Amazon Web Services, Google Cloud Platform, Serverless, SDLC, ALM, Automation, Data Cleansing, and DevOps[/vc_column_text][/vc_column][vc_column width=”1/3″][obira_section_title section_title=”Austin Mahn” open_link=”true” title_size=”32″][vc_column_text]Austin Mahn has supported medium to large scale customers in banking and energy services since 2006 with a primary focus on Microsoft and VMware products. He has a passion for solving complex issues with a simplistic automated solution, while maintaining excellent customer service. Austin continues to research ways for customers to better use their data and environment so that they can focus on serving their customers.

Specialties Include: Microsoft and VMware[/vc_column_text][/vc_column][vc_column width=”1/3″][obira_section_title section_title=”Philip Anderson” open_link=”true” title_size=”32″][vc_column_text]Philip began his career Information Systems in 1998 and has a wide range of experience in the areas of systems and network administration, information management, information security, cloud computing, software performance, service management, systems integration, and consulting. Throughout his career, he has watched companies battle the inefficiencies and wasteful overhead resulting from managing large complex systems. In 2013, he was introduced to cloud computing with Microsoft Azure and has since made the cloud his passion. He believes that with proper planning, discipline, and a minimalist approach, any company can use cloud computing to run a secure and highly available data center at a fraction of the cost of on-premise solutions.

Specialties Include: Enterprise Architecture, Microsoft Azure, Amazon Web Services, Business Intelligence, and DevOps[/vc_column_text][/vc_column][/vc_row][vc_row full_width=”stretch_row_content_no_spaces” overlay_dotted=””][vc_column][vc_separator color=”custom” accent_color=”#f0f0f0″ css=”.vc_custom_1514286664732{margin-bottom: 1px !important;}”][/vc_column][/vc_row]

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