Summary
Overview
Work History
Education
Skills
Languages
Timeline
Generic

Goutham Podduturi

Celina

Summary

Accomplished Data Analyst at eBay Inc., skilled in SQL querying and data visualization. Expertly transformed complex datasets into actionable insights, enhancing decision-making processes. Proven ability to optimize database performance and implement predictive modeling, driving significant improvements in customer experiences and operational efficiency. Strong problem-solving skills complemented by effective communication with stakeholders. Logical data analyst skilled in requirement analysis, software development and database management. Self-directed and proactive professional with several years of vast experience collecting, cleaning and interpreting data sets. Natural problem-solver possessing strong cross-functional understanding of information technology and business processes. Self-motivated Data Analyst offering several years of leadership experience across various industries. Methodical with significant experience in data mining and statistical analysis. Excellent problem-solver with history automating processes and driving operational enhancements. Goal-oriented professional successfully assists companies by developing and implementing updates to operational standards, team organization and employee engagement strategies. Proactive and personable leader with top-notch skills in streamlining information, prioritizing tasks and approaching issues with analytical mindset. Bringing years of experience and demonstrated track record of success.

Overview

6
6
years of professional experience

Work History

Data Analyst

EBay Inc
Celina
03.2025 - Current
  • Maintained documentation of all the processes related to Data Analysis.
  • Leveraged SQL queries to extract, transform and load data into databases.
  • Translated raw data into meaningful information using statistical techniques.
  • Optimized existing database structures for better performance on analytics tasks.
  • Analyzed large datasets to identify trends, patterns and correlations for business insights.
  • Developed dashboards with Tableau to monitor key performance indicators.
  • Utilized advanced analytics tools such as SAS, SPSS, Excel PowerPivot, to manipulate large volumes of structured and unstructured data sets.
  • Built visualizations that enabled users to quickly interpret results from complex analyses.
  • Provided data-driven solutions to support decision making.
  • Generated reports and obtained data to develop analytics on key performance and operational metrics.
  • Assisted with efforts to track, evaluate and report on impact of programs using multiple data sources.
  • Collected, tracked and reviewed data to evaluate business and market trends.
  • Prepared detailed reports by collecting, analyzing, and summarizing information and trends.
  • Conducted workshops and training sessions for non-technical staff on data analytics and data-driven decision-making.
  • Utilized predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
  • Created data visualizations and reports for management, showcasing findings and recommendations.
  • Supported initiatives for data integrity and normalization.
  • Implemented new data analysis methodologies and data visualization techniques.
  • Performed data entry, data cleaning, and data coding for analysis.
  • Monitored performance and quality control plans to identify improvements in data systems.
  • Developed Python scripts for extracting data from web services API's and loading into databases.
  • Analyzed user requirements, designed and developed ETL processes to load enterprise data into the Data Warehouse.
  • Created stored procedures for automating periodic tasks in SQL Server.
  • Developed and implemented data models, database designs, data access and table maintenance codes.

Data Engineer

Vanguard
Malvern
03.2019 - 03.2022
  • Optimized existing queries to improve query performance by creating indexes on tables.
  • Developed Python scripts for extracting data from web services API's and loading into databases.
  • Analyzed user requirements, designed and developed ETL processes to load enterprise data into the Data Warehouse.
  • Created stored procedures for automating periodic tasks in SQL Server.
  • Developed and implemented data models, database designs, data access and table maintenance codes.
  • Optimized SQL queries and database schemas for performance improvements in data retrieval operations.
  • Documented data architecture designs and changes, ensuring knowledge transfer and system maintainability.
  • Implemented and optimized big data storage solutions, including Hadoop and NoSQL databases, to improve data accessibility and efficiency.
  • Automated data quality checks and error handling processes to ensure the integrity and reliability of datasets.
  • Configured and maintained cloud-based data infrastructure on platforms like AWS, Azure, and Google Cloud to enhance data storage and computation capabilities.
  • Implemented data visualization tools like Tableau and Power BI to create dashboards and reports for business stakeholders.
  • Established and enforced data governance policies and procedures to comply with regulatory requirements and ensure data privacy.
  • Streamlined data flow from diverse sources using ETL tools such as Talend, Informatica, and Airflow.
  • Collaborated with cross-functional teams to gather requirements and translate business needs into technical specifications for data solutions.
  • Conducted rigorous testing and validation of data pipelines to ensure accuracy and completeness of data.
  • Designed data warehousing solutions, applying dimensional modeling techniques for optimized data retrieval.
  • Managed version control and deployment of data applications using Git, Docker, and Jenkins.
  • Monitored data systems performance, identifying bottlenecks and implementing solutions to maintain system efficiency.
  • Collaborated with data scientists and analysts to understand data needs and implement appropriate data models and structures.
  • Participated in agile development processes, contributing to sprint planning, stand-ups, and reviews to ensure timely delivery of data projects.
  • Designed, constructed, and maintained scalable data pipelines for data ingestion, cleaning, and processing using Python and SQL.
  • Wrote and coded logical and physical database descriptions, specifying identifiers of database to management systems.
  • Established and determined optimum values for database parameters using manuals and calculators.
  • Developed and managed enterprise-wide data analytics environments.
  • Collected, outlined and refined requirements, led design processes and oversaw project progress.
  • Created conceptual, logical and physical data models for use in different business areas.
  • Created and implemented complex business intelligence solutions.
  • Identified, protected and leveraged existing data.
  • Trained non-technical users and answered technical support questions.
  • Planned and installed database management system software upgrades to enhance systemic performance.
  • Provided technical mentorship to junior data engineers, guiding them on best practices and project execution.
  • Conducted data analysis using SQL and Python to derive insights and support decision-making processes.

Education

Master of Science - Information Technology

Wilmington University
New Castle, DE
12-2018

Bachelor of Science - Mechanical Engineering

CVR College of Engineering
India
08-2016

Skills

  • SQL querying
  • Data visualization
  • Predictive modeling
  • Data analysis
  • ETL processes
  • Statistical techniques
  • Database optimization
  • Dashboard development
  • Data documentation
  • Cloud computing
  • Data quality assurance processes
  • Use cases
  • SQL
  • Oracle business intelligence
  • NoSQL databases
  • Problem-solving
  • Data validation
  • Apache Spark
  • Data interpretation
  • Web scraping
  • Flexible schedule
  • Visual data representation
  • Data exports
  • Visualization software
  • Gap analysis
  • A/B testing
  • Google analytics
  • Data warehousing
  • Data screening

Languages

English
Professional

Timeline

Data Analyst

EBay Inc
03.2025 - Current

Data Engineer

Vanguard
03.2019 - 03.2022

Master of Science - Information Technology

Wilmington University

Bachelor of Science - Mechanical Engineering

CVR College of Engineering

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