• Conduct meeting sessions with internal and external stakeholders to gather existing and needed data requirements for pre-hospital, hospital and post-hospital stroke data as directed by the Department• Conduct analyses (gap, implementation, process analyses) of current state of Florida’s existing pre-hospital (Emergency Medical Services - EMS) stroke data collection methods and quality of data collection.• Deploy fully operational data warehouse solutions into production on Snowflake.• Architect the data warehouse and provide guidance to the team in implementation using Snowflake, Snow SQL and other big data technologies.• Compile and analyze medical data using the Department’s EMSTARS/Bio spatial applications and analytical tools.• Analyze and identify the data requirements and methodology to link EMS pre-hospital data with the Florida Stroke Registry• Create datasets/queries/reports of needed pre-hospital (EMS) data to support linkage efforts to the Florida Stroke Registry (FSR)• Prepare reports, data summaries, and other written documentation of stroke surveillance activities as directed by the Department.• Conduct quality improvement process analysis activities of the data collection processes of EMS stroke data collection or other related stroke data sources.• Develop recommendations for the improvement of processes and/or data collection of stroke data and the integration of EMS data with other related stroke data sources• Provide technical assistance (Subject Matter Expert), outreach, presentations, and training materials to improve the quality of data collection and use of Coverdell Measures• Perform technical and procedural support for project stakeholders as directed by the Department

• Respond ad-hoc data requests from Moffitt data users by performing data extracts, queries, creating data reports, and other report administration questions• Develop and modify SSRS reports, SSIS packages, Dashboards, and Various Data Visualizations via various Business Intelligence tools and statistic analyse tools, including SAS, Oracle Analytics Cloud, OBIEE, McKesson Spotfire, and Essbase cube, Tableau etc. • Maintain over 1000 SSRS reports to serve the whole institution and fix the report error also provide the support to end-user, documentation, and training for business intelligence solutions• Support Sr. BI developers with information gathering and data preparation upon ad-hoc requests• Perform data queries, create preliminary data reporting and analyses, and generate descriptive statistics via tables, charts, and graphs to support more advanced data analytics by Sr. team members• Assist in continuous monitoring of the Business Intelligence ticket queues, and complete data reports and tables upon assignments in a timely and efficient manner• Support the overall objectives of the three teams under the Department of Data Quality and Business Intelligence including Data Science and Advanced Analytics, Data Quality Operation and Standards, and Business Intelligence and Analytics• Develop and Modify various SSRS reports via Oracle SQL developer and SQL Visual Studio • Built a Cancer Statistics Dashboard among Floridians like topics include Incidence, Mortality, Trends, Stage at diagnosis or death, net survival, Lifetime risk using Tableau• Perform manual medical chart review, data validation, public health literature search and reviews to support data discovery, development of data analysis plan and study design, and advanced data mining by Sr. members Review and analyze the data requests submitted by internal clients through IT ticketing system Service now and support the triage analyses of all the requests under the guidance of departmental managers

• Communicated with business users and analysts on business requirements.• Used Python scripts to update content in the database and manipulate files.• Used Metadata Hub for importing metadata from repository, new job categories and creating new data elements.• Migrated Teradata database to PostgreSQL database in AWS.• Extensively used Apache Kafka, Apache Spark, HDFS and Apache Impala to build a near real time data pipelines that get, transform, store, and analyze click stream data to provide a better personalized user experience.• Involved in testing the SQL Scripts for report development, Tableau reports, Dashboards, Scorecards and handled the performance issues effectively.• Built business metrics in Spark SQL to create business value.• Stored and retrieved data from data-warehouses using Amazon Redshift.• Construct the AWS data pipelines using VPC, EC2, S3, Auto Scaling Groups (ASG), EBS, Snowflake, IAM, CloudFormation, Route 53, CloudWatch, CloudFront, CloudTrail.• Implemented business use case in Hadoop/Hive and visualized in Tableau.• Created Azure Data Factory and managing policies for Data Factory and Utilized Blob storage for storage and backup on Azure.• Created action filters, parameters, and calculated Columns for preparing dashboards and worksheets in Power BI.• Used Python& SAS to extract, transform & load source data from transaction systems, generated reports, insights, and key conclusions.

• Extracted, transformed, and loaded data utilizing MS SQL Responsible for analysing health data and producing, verifying, and interpreting client reports with very little oversight. Performed the analyses of health care data, including medical and pharmacy claims, membership files and health advisory/coaching interaction, to better understand the quality and level of care delivered and measured the effectiveness of the organization's services as it relates to both clinical quality and financial returns.• Completed ad-hoc projects relating to data investigations, follow-ups on analysis results, or other client requests. Documented tasks in a timely and accurate basis including delineation of tasks, and estimation of effort.• Balanced simultaneous requests for data analysis and synthesis compiled of multiple internal and external sources including market data, patient origin, and financial outcomes for the Health System, Medical Group, Strategic Services, and Hospital Administration• Designed, coded, and implemented SQL code for analytic studies to fulfill internal and external client requests, maintained, evaluated, and reported on recurring analytic studies. Performed data hygiene and created data validation programs• Performed daily reporting tasks in Tableau with prospect and member databases to profile market data and draw conclusions on member and prospect segments based on available data. Collected and analysed data using Microsoft Excel, Microsoft Access, and Oracle on customer demographics, preferences, and needs to identify potential markets and factors affecting product demand.• Calculated and analysed claims data for provider incentive and supplemental benefit analysis using Microsoft Access and Oracle SQL.• Defined and refined data quality checks and data monitoring supporting the business rules and changes, defines, and refines data quality measures, reports, and dashboards

• Worked as data analyst in financial transformation team, creating dashboards using data ware housing data coming from Microsoft SQL server• worked on building dashboards on consumer loans data such as auto loan, student loans data• Developed dashboards include on as interest amounts, loan statuses and bankruptcy counts • Performed ETL mapping from source data systems to target data systems, testing data completeness, data quality, applying correct data transformation and integration• Executed complex data analytics projects that involves in relational databases, data collection, data management, as well as analysis for a broad array of retention issues across disciplines functional areas • Built looker dashboard to visualize core business KPIs (e.g., Monthly recurring revenue, Customer Acquisition cost), saving 10 hours of per week of manual reporting work• Designed merchandising strategies for grocery retailers based on regression analysis identifying key store attributes to increase traffic and conversion; resulted in a 25% sales lift • Maintain JIRA projects, workflows, permissions, and users while working in a JIRA 6.x & 7.x environment• Summarized online retail application database that typically involves the generation of unique customer ID, password and in many cases, consolidates information like name, address, contact information, bank details etc• Good Experience in cloud-based data warehouse - Databricks.• Hands on Experience in developing and building data pipelines on Databricks & Hybrid infrastructure for analytical needs• Analyzing client-specified problems to develop software solutions to operational requirements

• Worked as part of a global team to develop SAS ETL software required to support a variety of business needs and often communicate with end-client on required specifications on data. • Developed database in projects with large, diverse, client data source files. • Worked on the planning and coordination of work activity for projects involving more than 2 million records. • Experience in SAS programming for auditing data, developing data, performing data validation QA and improve efficiency of SAS programs Managed multiple projects in a fast-paced environment meeting milestones and deliverable dates with no supervision. • Explained and validated work results and insight applied to tools used for client analysis and documentation of SAS files and library structures.