Cndu Sindhoora

Collaborated with cross-functional stakeholders to identify and automate complex manual workflows, streamlining operations and improving efficiency across the supply chain team. Designed and implemented analytical solutions to address critical business challenges, leveraging ETL and data visualization techniques to uncover insights and support strategic decisions. Leveraged AI powered tools including Amazon Quick and Claude to improve productivity in dashboard development and SQL query optimization, troubleshooting and reporting tasks.

Business Intelligence Engineer at Amazon, Tek systems (2024-09 – 2025-02)

• Collaborated with cross-functional stakeholders to identify and automate complex manual workflows, streamlining operations and improving efficiency across the supply chain team.
• Designed and implemented analytical solutions to address critical business challenges, leveraging ETL and data visualization techniques to uncover insights and support strategic decisions.
• Leveraged AI powered tools including Amazon Quick and Claude to improve productivity in dashboard development and SQL query optimization, troubleshooting and reporting tasks.
• Developed and deployed scalable ETL pipelines using Quickbase, SQL, AWS and Excel, achieving a 70% reduction in data processing times.
• Built and maintained interactive dashboards in QuickSight to deliver real-time insights into key performance metrics, including quality, operational performance, and spend analysis.
• Automated recurring excel reports and data validation checks of OTIF reporting, reducing manual effort by 80% and ensuring timely reporting.
• Partnered with business teams to translate data insights into practical recommendations, driving improvements in productivity and reporting accuracy.

Data Engineer I at Amazon, Akraya (2022-10 – 2024-03)

• Designed and implemented scalable cloud-based data warehousing solutions using Redshift, Spark SQL, AWS EMR to support advertising analytics and machine learning-driven campaign measurement.
• Collaborate cross-functionally with product managers, engineers, and science teams to define hypotheses, run several A/B experiments, and analyze results to drive data-informed decision-making.
• Communicated findings and insights from A/B testing to stakeholders through clear and concise reports, optimizing campaign measurement operations with minimal latency.
• Regularly tracked KPIs using Quicksight and iteratively optimized test designs to enhance strategies and drive business improvements.
• Automated python modules to rigorously validate campaign reports, swiftly identifying and summarizing failed key metrics.
• Applied dimensional data modeling (star and snowflake schemas) to design analytics-ready fact and dimension tables in Redshift to support scalable BI reporting.
• Developed and maintained CI/CD pipelines using Git and AWS, automating the deployment of data pipelines and machine learning models to ensure seamless integration and continuous delivery.
• Boosted data pre-processing by 25% through on-demand scalable ETL jobs tailored to meet specific stakeholder requirements.
• Led large-scale customer segmentation and RFM analysis by extracting data sourced from on-premises databases (Andes), and performed optimization in Cradle using Spark SQL/PySpark (filtering, CTEs, window functions, joins), resulting in a 70% reduction in processing time.
• Supported data scientists and analytics teams with data ingestion, transformation, feature preparation, and ad hoc exploratory analysis for machine learning and reporting initiatives.

SQL Analyst at Apple, RMSI (2022-08 – 2022-10)

• Managed automated workflows and performed comprehensive geospatial data analysis, impact assessment, and gap analysis for Apple Maps utilizing a diverse tech stack including Maps SQL, Python (pandas), Regex, Hive, and pgAdmin.

Data Engineer at IBM India Pvt Ltd, Bangalore, India (2014-08 – 2018-01)

ITAC (India Tax and Compliance) Reporting System (Data Stage, Cognos, Netezza)

• Developed ETL pipelines for finance teams to track invoices billing generated across multiple OLTP systems and licenses using Datastage, Netezza and DB2.
• Responsible for automating the Invoice to Softex to BIRC mapping process with the help of DataStage jobs. Implemented data processing and transformation logic to generate outstanding AR and softex reports.
• Developed and maintained a suite of jobs for generating daily, weekly, and monthly reports, meeting business needs and ensuring timely insights delivery.
• Engineered high-performance SQL procedures optimized for handling large volumes of data, resulting in efficient data retrieval and analysis.
• Wrote scripts using CRON utility to schedule weekly email deliveries for sending the exception reports.
• Managed dashboards in Cognos Analytics, showcasing KPI trends through insightful visualization charts, facilitating data-driven decision-making.

Business Analyst at IBM India Pvt Ltd, Bangalore, India (2014-08 – 2018-01)

ATTAC (A-Team for Tax and Compliance) (QMF, Hyperion Intelligence Explorer, MySQL)

• Worked with Managers and WW SMEs to understand the business requirements and was involved in building a new employee data mart interface for regulars and SSPIS for contractors.
• Involved in the automation of the US BRANCH assignment movement which is currently handled through interim manual solutions.
• Responsible for writing complex SQL queries for data analysis to meet business needs.
• Wrote functional design documents to incorporate the product enhancements by analyzing their impact.
• Worked with a reporting team for automating some of the complex problems faced by tax and compliance teams.

Master of Science in Data Analytics – San Jose State University, CA (2020-01 – 2021-12)

Bachelor of Technology in Computer Science and Engineering – Koneru Lakshmaiah College of Engineering, AP, INDIA (2010-06 – 2014-05)