Ronald Dvaz
Retail Manager Data Driven Leader Customer Experience Optimiser @Sainsbury's
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WORK HISTORY
Retail Manager Data Driven Leader Customer Experience Optimiser @Sainsbury's
Manchester, GB
KPI Monitoring & Interpretation: Expert in analyzing sales data, customer feedback metrics, and operational dashboards to identify opportunities and resolve challenges• Insight-Led Decision Making: Proven ability to use data patterns to guide stock management, scheduling optimization, and service improvements• Customer Journey Analytics: Skilled in examining transaction data, footfall patterns, and customer behavior insights to enhance in-store experiences and boost satisfaction scores• Team Performance Metrics: Experienced in leveraging performance data to uncover training needs, highlight top performers, and implement targeted development initiatives• Financial Analysis: Proficient in reviewing P&L statements, variance reports, and financial trends to ensure budget accountability and drive profitability
EDUCATION
Leeds Beckett University
Master's degree, Data Processing and Data Processing Technology/Technician
Karmel Vidya Bhavan Trust CHRIST College, Pune, Arts Science and Commerce College, Vadgaon Sheri
Bca, Bca
ABOUT RONALD DVAZ
I am a data and technology enthusiast with multiple projects in creating data pipeline using Snowflake, Airflow, AWS, Python, and GitHub. Performed multiple roles; Data Engineer, Data Analyst and Data consultant. Have worked in different business domains; Retail, Banking, Insurance and Telecom.• Demonstrated technical leadership in developing solutions for complex problems, performance tuning techniques like Clustering, Bytes scanning, Cashing, Materialized views, Scale-in, Scale-out. Implementing best practice in the developing data pipeline in Snowflake.• Hands-on experience in reading and writing variety source files from and to S3 using Snowflake storage integration, external stage, COPY INTO and Snowpipe for bulk loading and streaming data.• Experience in working with billion of customer transactions data in Data Vault modeling and Dimensional modelling using various design methods (star and snowflake) to meet varied data scenarios and business requirements.• Experience in Orchestrating ELT / ETL pipeline using Airflow DAGs, Scheduled DAGs based on an event and time. Integrated Slack and ServiceNow notification as part of alerting and monitoring for DAGs and SQLs failure.• Development of CI/CD automation using GitHub, AWS Code pipeline and Liquibase. Experience on Development of Infrastructure as Code using Terraform. Technical Skills: PythonPySparkDBTAirflowAWS, especially S3 and GlueApache IcebergSQLGitKubernetes and DockerShellSnowflake and Big Data tech stack
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