Data Analyst with a robust nine-year trajectory, marked by a broadening scope in multiple domains, organizational contexts, and technology platforms, with a proven track record of completing initiatives quickly and at low cost. Demonstrated core competencies include:Spearheaded the design and management of PowerBI and Quickbase reporting systems, servicing over 1,000 users, leveraging a self-built Azure environment for data processing. Skilled in Python for streamlined ETL processes, and adept in the deployment of PostgreSQL for staging database purposes.Designed and deployed an Azure-centric infrastructure, centralizing 85 critical datasets from various upstream sources, which markedly enhanced the effectiveness and utility of business reporting capabilities.Led communications with internal stakeholders, up to the SVP level, ensuring clarity on data availability and delivering creative data solutions for urgent, high-visibility issues.Proficient in architecting and executing scalable ETL solutions in large corporate settings, guiding initiatives in IT architecture, data analytics, and cloud-based integrations. Specialized in efficient cloud infrastructures utilizing VM architecture, with expertise in Python, SQL, and PostgreSQL. This expertise is reflected in the successful rollout of vital data collection and processing tools, custom reporting solutions, and practical resolutions to complex business reporting and data-oriented challenges.At my best: I excel in designing proactive Python solutions to tackle data related challenges, thriving on the freedom to creatively solve problems without reliance on existing frameworks or hands on management direction. I’m accustomed to year-round Agile style project environments as well as solving problems as an independent architect, developer, and analyst, taking initiative to address challenges beyond my assigned tasks and consistently helping the organization succeed.