Vinay T Email and Phone Number

• Designed and developed complex data models and ETL pipelines using SQL and Python, extracting data from multiple sources to create automated workflows, improving data accuracy and accessibility for analytics teams. • Created and maintained interactive dashboards and visual reports in Tableau, delivering actionable insights to stakeholders and enabling data-driven decision-making across business units. • Collaborated with cross-functional teams to gather business requirements and translate them into scalable data solutions, enhancing operational efficiency by optimizing reporting processes and reducing manual effort by 40%. • Performed advanced data analysis and validation on large datasets from Snowflake and Oracle, ensuring data quality and accuracy through thorough testing and debugging of BI reports and SQL queries. • Integrated and managed data warehousing solutions in AWS streamlining data storage and retrieval processes while implementing best practices for data governance and security.

Developed and maintained Python scripts for various data operations, including extraction, transformation, and analysis, ensuring efficient and accurate data processing aligned with project goals. • Crafted complex SQL queries and utilized PostgreSQL for retrieving and manipulating data from relational databases, facilitating seamless data exploration and supporting robust reporting capabilities for financial analysis. • Employed Matplotlib to create visually appealing charts and plots that effectively communicated insights derived from data analysis, aiding stakeholders in decision-making processes. • Deployed and monitored data processing pipelines on AWS Elastic MapReduce (EMR) clusters, using AWS CloudWatch for logging and monitoring, which ensured the scalability and reliability of data workflows. • Created interactive dashboards and reports in Tableau, enabling stakeholders to derive valuable insights from complex datasets through intuitive visualizations tailored to business needs. • Collaborated within the Waterfall software development methodology to manage projects in a structured manner, ensuring timely delivery of high-quality analytics deliverables. • Utilized GitHub for version control and collaborative code development, promoting efficient teamwork and streamlined code management practices throughout various projects. • Conducted A/B testing experiments to evaluate hypotheses and optimize processes, supporting data-driven decision-making and continuous improvement initiatives within the organization.

• Collected and integrated sales data from various sources, including relational databases and NoSQL databases, ensuring data consistency and integrity across different platforms within the financial sector. • Utilized AWS RDS and AWS RedShift for scalable and efficient data storage and management, ensuring data accessibility and highperformance querying capabilities for large datasets. • Performed comprehensive data cleaning and preprocessing using Python libraries to handle missing values, remove duplicates, and standardize data formats for accurate analysis. • Conducted in-depth data analysis on sales data to identify trends, patterns, and actionable insights using SQL for querying and Python for advanced analytics. • Applied advanced statistical techniques and data mining methods to uncover hidden relationships and patterns within financial data, supporting strategic decision-making. • Designed and developed an enterprise-grade data warehousing solution to consolidate and integrate sales data from various operational systems, enabling efficient data retrieval and analysis for business intelligence and reporting. • Developed interactive and visually appealing dashboards and reports in Power BI, utilizing advanced visualization techniques to effectively communicate key sales metrics and performance indicators to stakeholders. • Created detailed reports in Excel with pivot tables and advanced formatting, highlighting critical business insights and providing data-driven recommendations for management. • Leveraged AWS services, including EKS for container orchestration and AWS Lambda for serverless computing, to automate data processing workflows and enhance resource utilization throughout deployment. • Collaborated in Agile environments, participating in sprint planning, daily stand-ups, and retrospectives while maintaining rigorous data governance and security measures through version control practices.

• Extracted and transformed raw data from MySQL databases, ensuring data integrity through validation checks and error handling. • Developed and executed SQL queries to analyze customer purchase data, utilizing joins, subqueries, and window functions to generate actionable insights. • Conducted data cleaning using Python libraries such as Pandas to handle missing values and standardize data formats, enhancing data quality for analysis. • Designed and created interactive dashboards in Power BI, incorporating key metrics and KPIs to provide stakeholders with real-time insights into customer behavior and sales performance. • Utilized Power BI features such as drill-through and slicers to enable users to explore data at various levels of detail, enhancing user engagement and understanding of trends. • Developed custom visuals in Power BI to effectively represent complex data sets, improving clarity and communication of findings to stakeholders. • Collaborated with team members to present insights and recommendations based on data analysis, supporting data-driven decision making for marketing strategies. • Assisted in the integration of data sources into Power BI, ensuring seamless updates and accuracy of visual reports for ongoing analysis.