GOUTHAM PODDUTURI
Frisco,TX
Summary
Data Analytics Engineer with extensive experience across highly regulated environments. Specializing in building ETL pipelines and automating data workflows. Proficient in SQL, Python, Power BI, Azure Databricks, Oracle PL/SQL, and ETL/ELT, applying statistical and predictive modeling techniques, delivering audit-ready reporting and dashboards. Strong background in data-quality validation, access-provisioning compliance, and communicating factual findings to non-technical stakeholders. Proficient in software development, system administration, and technical support. Skilled in problem-solving and optimizing performance. Committed to continuous learning and staying current with industry trends to contribute to organizational success.
Overview
8
8
years of professional experience
Work History
Data Analytics Engineer - II / Power BI Developer
PepsiCo
12.2025 - Current
- Created Power BI reports for operational insights + Plant Operations Analytics
- Developed and maintained 10+ Power BI dashboards and routine data extracts tracking OEE, downtime, throughput, and waste KPIs across multiple sites, reducing manual reporting effort by ~40%.
- Designed and delivered dashboards and briefings for Plant Managers and VP of Operations, summarizing analytical findings to facilitate informed decision-making.
- Analyzed structured and unstructured operational data from SQL Server, Azure SQL, Databricks, APIs, and Excel to identify trends and anomalies impacting plant performance.
- Automated recurring data workflows with Python (pandas) and Databricks (PySpark/SQL), reducing manual effort and data-handling errors.
- Conducted data-quality checks and reconciled source systems with reporting layer, documenting limitations and assumptions to ensure data integrity.
- Applied statistical and trend analysis to isolate root causes of downtime and waste, updating monitoring logic as new findings emerged.
- Implemented Row-Level Security (RLS) and role-based access controls to protect sensitive data and meet data-governance requirements.
- Facilitated requirements sessions across supply chain, quality, and finance, and delivered UAT and end-user training
Data Analytics Engineer
eBay
11.2023 - 07.2025
- Enterprise Data Extracts + Predictive Modeling
- Engineered large-scale data extracts (ETL) from diverse enterprise databases and warehouses using complex SQL to enhance defensive analysis in recurring reporting cycles.
- Applied predictive modeling and statistical analysis in Python to solve business problems, including financial models and portfolio valuations.
- Developed reports, KPI scorecards, and Power BI dashboards that effectively communicated insights to leadership and non-technical stakeholders.
- Led platform administration and data-integrity initiatives, establishing standards that improved report accuracy and consistency.
- Collaborated with DBAs, analysts, and business owners to ensure alignment of technical work with business requirements through structured data modeling.
Software Engineer II (Identity & Access Systems)
eBay
03.2022 - 10.2023
- Developed Java Spring Boot and Python services processing large-scale, event-driven marketplace data (Kafka), securing APIs with OAuth 2.0 and JWT.
- Implemented distributed microservices deployed on AWS using Docker, Kubernetes, ECS, and EKS.
- Designed microservices for access provisioning in cloud environment, which enhanced scalability and security.
- Built automated user-access provisioning and de-provisioning workflows, ensuring compliance with security policies and improving access management efficiency.
- Built scalable REST APIs for catalog management, inventory synchronization, pricing engines, and order lifecycle management.
- Investigated connector failures and synchronization issues through log analysis, resolving provisioning exceptions to improve system reliability.
- Implemented distributed logging and monitoring (Splunk, ELK, Grafana), establishing traceability and audit trails for system events.
Data Systems Analyst
Bureau of Labor Statistics (Federal)
03.2021 - 03.2022
- Developed complex Oracle PL/SQL queries, stored procedures, and packages for backend data processing, enabling aggregation and statistical reporting on millions of records.
- Analyzed and processed large national labor datasets in a federal environment governed by strict documentation, security, and data-handling standards.
- Built Flink streaming workflows for ETL, aggregation, and anomaly detection, improving the timeliness and accuracy of published data products.
- Led modernization and cloud-migration efforts by containerizing legacy applications and deploying data services to AWS and Azure, enhancing system scalability and accessibility.
- Authored design specifications, standard operating documentation, and technical specs supporting system integrations and knowledge transfer.
- Federal Labor Data Processing (Vendor: TetraTech)
Application Developer II (Financial Data Applications)
Wells Fargo
09.2020 - 03.2021
- Banking Data Applications
- Integrated RESTful web services to transfer financial data securely between applications, ensuring data accuracy and integrity.
- Developed interface modules and web applications (Spring MVC, REST) to deliver banking and financial data to internal business users in a regulated environment.
- Implemented secure, auditable CI/CD workflows (Jenkins, Docker, Kubernetes, Azure Pipelines) with rollback strategies for controlled and traceable deployments.
Software Engineer (Asset Management Platforms)
Vanguard
02.2019 - 08.2020
- Designed, built, and tested microservice modules (orders, payments, customer, inventory) to enhance system functionality for major asset-management firm using Agile methodology.
- Developed and maintained scalable backend services using Java, Spring Boot, and Python, exposing RESTful APIs.
- Developed microservices for investment data processing
- Implemented Kafka producers/consumers to enable event-driven processing of investment and transaction data, improving data handling efficiency.
- Built dynamic user interfaces with React and Angular, integrating with backend microservices.
- Built Python automation for regression testing and verification, deploying Prometheus/Grafana dashboards to monitor service-level metrics to ensure system reliability.
Education
M.S. - Information Security and Assurance
Wilmington University
Newark, DE, USA01-2018
B.Tech. - Mechanical Engineering
CVR College of Engineering
Hyderabad, Telangana, India01-2016
Skills
- Analytics & Reporting : Advanced Excel (formulas, pivot tables, Power Query), Power BI (DAX, RLS), Tableau, SQL, Python, R, Data visualization
- Machine Learning & Statistical Methods : Data analysis tools, predictive modeling, regression and trend forecasting, streaming anomaly detection (Apache Flink)
- Data Platforms & ETL : SQL Server, Azure Databricks, Oracle PL/SQL, PostgreSQL, MySQL, ETL design, data modeling, ETL processes
- Technology: API integration, Java, SpringBoot, MicroServices, Junit, AWS/Azure
- Monitoring, Audit & Controls : Audit readiness and traceability, access provisioning / IAM governance, corrective-action implementation, data validation and reconciliation checks
- Documentation & Process : Standard operating procedures, design specifications, technical documentation, Jira, Azure DevOps, Agile/Scrum
- Communication & Training : Stakeholder presentations, end-user training, UAT on self-service analytics tools
- Data governance
Timeline
Data Analytics Engineer - II / Power BI Developer
PepsiCo
12.2025 - Current
Data Analytics Engineer
eBay
11.2023 - 07.2025
Software Engineer II (Identity & Access Systems)
eBay
03.2022 - 10.2023
Data Systems Analyst
Bureau of Labor Statistics (Federal)
03.2021 - 03.2022
Application Developer II (Financial Data Applications)
Wells Fargo
09.2020 - 03.2021
Software Engineer (Asset Management Platforms)
Vanguard
02.2019 - 08.2020
M.S. - Information Security and Assurance
Wilmington University
B.Tech. - Mechanical Engineering
CVR College of Engineering