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Title Lead Database Developer
Target Location US-NJ-Jersey City
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                             Candidate's Name
               PHONE NUMBER AVAILABLE   EMAIL AVAILABLE   Downtown Jersey City, NJ



DATABASE DEVELOPER
Proficient in database design, development, and administration. Experienced in optimizing database
performance and ensuring data integrity. Skilled in using SQL Server, PostgreSQL, and other
RDBMS.




                                 PROFESSIONAL EXPERIENCE
Flatiron Health                                                                      Jun 2021 - Current
Lead Database Developer

   Project: Customer Feedback Analysis Overview:
   Objective: Develop a database system to analyze customer feedback and enhance product
   quality and customer satisfaction.
   Implementation Details:
   Developed advanced models to analyze sales trends and identify growth opportunities.
   Created detailed reports and interactive dashboards to visualize sales metrics.
   Conducted thorough data validation and cleansing to ensure data accuracy and reliability.
   Implemented automated data quality monitoring to maintain high standards.
   Key Responsibilities:
   Designed and implemented systems to collect customer feedback from various channels (surveys,
   social media, customer service interactions).
   Integrated feedback data into a central database for comprehensive analysis.
   Developed advanced analytics models to identify trends, common themes, and customer
   sentiments.
   Provided actionable insights to improve product quality and customer satisfaction, thereby
   increasing customer loyalty and reducing churn rates.
   Project 2: Product Performance Dashboard
   Overview:
   Objective: Create a dashboard to monitor and analyze product performance across various
   metrics.
   Implementation Details:
   Aggregated product performance data from multiple sources (sales, customer feedback,
   manufacturing data).
   Developed interactive dashboards to visualize key product metrics for real-time monitoring and
   analysis.
   Outcome:
   Improved visibility into product performance, enabling stakeholders to identify areas for
   improvement and make strategic decisions.
Honor                                                                              Apr 2017 - Jun 2021
Database Engineer

   Project: Order Processing System
   Implementation Details:
   Optimized SQL queries and redesigned database schema.
   Automated key order processing tasks using stored procedures and triggers.
   Conducted thorough testing to meet performance goals.
   Collaborated with stakeholders to ensure system enhancements met business needs. Key
   Responsibilities:
   Conducted system analysis to identify bottlenecks.
   Optimized SQL queries and redesigned database schema.
   Automated order processing tasks using stored procedures and triggers.
   Reduced processing times and improved system efficiency.
   Project: Customer Segmentation Analysis
   Implementation Details:
   Conducted detailed analysis of customer purchase data.
   Developed advanced segmentation models based on behavior.
   Outcome:
   Provided insights for tailored marketing strategies. Improved
   customer engagement and retention.



Sharp Innovations                                                                  May 2013 - Apr 2017
SQL Programmer

   Project: Market Research Data Integration
   Implementation Details:
   Developed ETL processes to aggregate market research data from multiple sources.
   Created detailed reports for analyzing market research data and identifying key trends.
   Implemented data validation processes to ensure accuracy and consistency.
   Conducted regular data audits to maintain high data quality standards. Key
   Responsibilities:
   Integrated market research data from various sources into a central database. Implemented
   rigorous data validation processes to ensure data accuracy and reliability. Created detailed
   reports to analyze market research data and derive actionable insights.
   Provided valuable insights for strategic planning and decision-making, enabling effective marketing
   strategies.
   Project: Sales Performance Dashboard
   Implementation Details:
   Aggregated sales data from multiple sources to provide a comprehensive view of performance.
   Created interactive dashboards to visualize key sales metrics for real-time monitoring.
   Outcome:
   Enhanced visibility into sales performance facilitated data-driven decision-making.
   Supported strategic planning by providing actionable insights derived from comprehensive sales
   data.




                                               EDUCATION
  Princeton University                                                                    2009 - 2013
  Bachelor of Computer Science

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