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KOTESWARA CHARAN TEJA AYODHYA

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United States

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Résumé


Jobs verified_user 0% verified
  • Mckesson
    Data Engineer
    Mckesson
    Feb 2024 - Current (2 years 9 months)
    • Designed and implemented robust data pipelines using Informatica Intelligent Cloud Services (IICS), streamlining ETL processes for over 30 diverse data sources, reducing data processing time by 40%. • Managed and optimized large-scale data storage systems, including Snowflake and Teradata, enhancing data retrieval efficiency and supporting complex analytics applications. • Developed and maintained real-time data processing solutions with Apache Spark, reducing system response times by 50% and enhancing operational efficiency for key business processes. • Design, implement, and optimize scalable data models and transformations using DBT and Snowflake, resulting in a 50% reduction in transformation time and a 30% increase in data accura
  • A
    Data Engineer / Application Development Analyst
    Accenture Solutions Private Limited
    Oct 2021 - Sep 2022 (1 year)
    • Delivered a 40% increase in end-to-end implementation execution by analyzing business cases and refining version control strategies. • Spearheaded the successful migration of Salesforce data to Oracle, reducing data processing time by 30% and enhancing system scalability. • Excelled in developing efficient Informatica Cloud mappings, achieving a 50% increase in data processing efficiency and a 75% reduction in replication errors, enabling organizations to make informed decisions and drive success. • Leveraged ServiceNow's service catalog for efficient resource allocation, resulting in a 15% cost reduction in the Informatica IICS project implementation. • Executed seamless integration of Informatica IICS on Linux, enhancing system sta
  • C
    Data Engineer / Programmer Analyst
    CognizantTechnology Solutions Private Limited
    Jul 2019 - Sep 2021 (2 years 3 months)
    • Executed efficient data integration solutions within Informatica IICS, which led to a 25% improvement in ETL performance achieved by optimizing PostgreSQL database queries. • Employed streamlined project workflows utilizing Jira, resulting in a 20% reduction in task completion time for the Informatica IICS integration project. • Implemented cost-effective storage solutions on AWS S3, resulting in a 25% reduction in overall project infrastructure expenses for Informatica IICS. • Leveraged Integrated Informatica Cloud Services (IICS) and SQL Server Integration Services (SSIS) for advanced data integration tasks, significantly improving data quality and accessibility. • Developed and automated end-to-end data pipelines within Snowflake
  • E
    Data Engineer
    Espire India Jr.
    May 2018 - Jun 2019 (1 year 2 months)
    • Developed Python scripts to automate data quality checks, reducing data error rates by 30% and enhancing the integrity of datasets used for critical analysis. • Implemented complex SQL queries for data aggregation and joins, enabling detailed analysis that supported increased report accuracy and decision-making efficiency. • Developed and maintained PostgreSQL databases, increasing data retrieval speeds by 25% and improving database security compliance by 40%. • Optimized SQL queries and database performance, identifying and resolving bottlenecks that resulted in a 30% faster data processing and a 20% reduction in load times. • Utilized NumPy and Pandas to efficiently manipulate large arrays of numerical data and structured datasets,
Education verified_user 0% verified
  • University of Bridgeport
    Master of Science
    University of Bridgeport
    Sep 2022 - Nov 2023 (1 year 3 months)
  • Prasad V Potluri Siddhartha institute of technology
    Bachelor of Technology in
    Prasad V Potluri Siddhartha institute of technology
    Jun 2015 - Apr 2019 (3 years 11 months)
  • I
    Data Integration certification.
    Informatica Cloud
Projects (professional or personal) verified_user 0% verified
  • I
    Image Classification System Successfully Using Python
    • Developed an image classification system using Python and Flask, achieving a 20% improvement in accuracy, and catering to a user base of over 1,000,000 individuals (about the population of Delaware).
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