Konrad P.

Background

About Konrad P.

A goal driven developer with a great understanding of key business processes, project life cycles and programming with a passion for Technology automation & Integration- Adaptive and confident working in a wide Range of Sector Verticals Business Loan & Credit Approvals, Mortgage Applications, Real Estate, Freight Shipping, Personal Healthcare and Insurance, Product Manufacturing, Global Food Industry - Being a part of a culturally diverse team focused on delivering great expertise in no code workflow and business rules engine - Strong communication and organization to effectively coordinate across teams in different locales and time zones - Playing key rolesin project delivery as either architect, business analyst or project developer - Conducting project scoping, requirements gathering and documentation of technical projects - Integrating to and maintaining database and API service integrations SAML, OAuth, REST, SOAP, XML, Json, HTTPS, Microsoft SQL Server and POSTGRES - Configuring, managing and deploying standalone, multi-tenant and virtualized instances Hyper-V, Oracle VirtualBox, AVD - Setting up, deploying and using repository servers for continuous integration and continuous development pipelines Decisions Repository Branches, Versioning Revisions, Azure File Storage, AWS S3, GitHub Integration - Versed in Agile ways of working and project development software tools Jira, Trello, Microsoft Teams, Microsoft Office Suite, Google Suite, Zoom, Slack, Lucidchart - Carrying out platform performance tests, stress testing automated processes and unit testing with POSTMAN, JMeter and Decisions Debugger POSTMAN, JMeter, Data Dog, Decisions Logging Service, Decisions Administrative Tools - Front-end facing user interface development with interactive forms, pages and reports - Business rule automation using Decisions Statement Rules, Rule Sets, Rule Chains, Logical Truth Tables and Multi-Axis Matrix Rules - Architect and design of relational and non-relational data types, data structures and data objects using Decisions, Miro, Lucidchart, Draw.io, and Visio - Crucial understanding of object relational data mapping for automated data processing purposes