Application Developer Resume

SUMMARY:

10+ years in the information technology industry, has a wide range of experience providing project and account management experience and is seasoned in Analysis, Design, Development, Implementation and Testing of various stand - alone and client-server architecture-based enterprise applications software in various domains with below specified duties. So please get back to me with client details, so that I will share my complete resume for further discussion.
Research, Design, Develop, modify enterprise-wide systems/application software.
Develop new user-facing features using Python, SAS, Spark algorithms.
Working with several large and complex databases (MySQL, DB2, Teradata, Oracle, Hive).
Build reusable code and libraries for future use and Optimize application for maximum speed and scalability.
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution.
Collaborate with stakeholders, scrum Masters and peer engineers to analyze system requirements, design, develop, and test end to end applications.
Working in a fast-paced agile environment.
Plan and implement the overall analytics and business intelligence strategy.
Deploying & developing applications end to end. Identify design problems and devise the solutions.
Understanding and carrying out analysis of the business requirements of the client.
Discover new opportunities to optimize the business through analytics.
Verify the accuracy, completeness, and reliability of data.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Providing technical expertise on data storage structures, data mining, and data cleansing.
Managing and designing the reporting environment, including data sources, security, and metadata.
Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.
Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity.
Work closely with project managers to understand and maintain focus on their analytical needs, including identifying critical metrics and deliver actionable insights to relevant decision-makers.

PROFESSIONAL EXPERIENCE:

Confidential

Application Developer

Responsibilities:

Research, Design, Develop, modify enterprise-wide systems/application software.
Develop new user-facing features using Python, SAS, Spark algorithms.
Working with several large and complex databases (MySQL, DB2, Teradata, Oracle, Hive).
Build reusable code and libraries for future use and Optimize application for maximum speed and scalability.
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution.
Collaborate with stakeholders, scrum Masters and peer engineers to analyze system requirements, design, develop, and test end to end applications.
Working in a fast-paced agile environment.
Plan and implement the overall analytics and business intelligence strategy.
Deploying & developing applications end to end. Identify design problems and devise the solutions.
Understanding and carrying out analysis of the business requirements of the client.
Discover new opportunities to optimize the business through analytics.
Verify the accuracy, completeness, and reliability of data.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Providing technical expertise on data storage structures, data mining, and data cleansing.
Managing and designing the reporting environment, including data sources, security, and metadata.
Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.

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