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Satya Gohil
Data Architect @Department of Human Services SA
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WORK HISTORY
Data Architect @Department of Human Services SA
Adelaide, AU
Currently contributing to the Screening Transformation Program at DHS, focusing on data migration and integration between Salesforce, SAMS, and SRD (Azure SQL).• Designing and implementing Azure Data Factory (ADF) pipelines and MSSQL solutions for migration and transformation.• Developing data mapping, validation, and reconciliation frameworks to ensure accuracy across systems.• Supporting analysis, continuous monitoring, and QA processes, including fuzzy matching.• Collaborating with business and technical stakeholders to drive decisions, resolve data issues, and streamline migration.• Preparing migration strategies, RACI charts, and decision registers to align teams and deliver outcomes.
EDUCATION
Performance Education
Professional Year
Gujarat Technological University (GTU)
BE - Bachelor of Engineering, Information Technology
University of South Australia
Masters of Data Science
ABOUT SATYA GOHIL
Strategic and accomplished Data Architect with a proven track record of translating raw data into insightful solutions and tangible business value. Proficient in deploying Microsoft Azure, Alteryx, Tableau Desktop, Power BI, and SQL to orchestrate seamless data migration, visualization, reporting, and thorough analysis.Key Areas of Expertise:Technological Mastery: Demonstrated expertise in harnessing Microsoft Azure, Alteryx, Tableau Desktop, Power BI, and SQL to design and implement robust data architectures. Ensures efficient data management, seamless integration, and optimal performance.Data Science Leadership: Spearheaded the development of 9+ Data Science projects, overseeing the complete project lifecycle from conceptualization to implementation, training, evaluation, and model optimization. Adept at aligning analytical insights with organizational objectives.Leadership and Management: Proven leadership skills in guiding and coordinating teams for successful project execution. Implements best practices in data architecture, modelling, and consolidation for enhanced efficiency.Data Modelling and Consolidation: Specialized in creating and implementing data models that streamline storage, retrieval, and analysis processes. Designs architectures that support the consolidation of disparate data sources.Data Presentation and Visualization: Proficient in creating compelling visualizations and presentations, facilitating clear communication of complex data insights to diverse stakeholders.Optimization and Risk Assessment: Implements optimization strategies for data processes, ensuring enhanced efficiency and accuracy. Conducts thorough risk assessments to proactively identify and address potential challenges.Advanced Data Analysis: Utilizes advanced statistical methodologies for predictive analysis and extracting actionable insights. Comfortable working with large datasets and complex analytical models.Strategic Business Research: Conducts comprehensive business research to inform data-driven decision-making. Generates insightful reports that contribute to strategic planning and business development.Quantitative Analysis: Possesses strong quantitative analysis skills, interpreting complex numerical data to drive informed decision-making.
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