Open To Work
Aditi Sinha
Summary
Results-driven Data Analytics Professional with 5+ years of experience in building scalable data platforms and ETL pipelines. Skilled in designing cloud-native architectures on AWS and developing SQL/Python data pipelines for accurate reporting. Collaborates effectively with cross-functional teams to convert raw data into reliable analytical datasets and metrics frameworks.
Overview
10
10
years of professional experience
Work History
Business Intelligence Engineer II
Amazon Inc.
Bellevue, WA
05.2021 - Current
- Architected an end-to-end analytics data platform on AWS (Glue, Lambda, Step Functions, S3, Redshift) and implemented infrastructure-as-code using AWS Cloud Development Kit (CDK) to automate deployment of ingestion and validation pipelines, reducing manual processing by 85%.
- Designed and maintained Python based ETL pipelines processing ~400K community sentiment survey responses annually, implementing schema validation, anomaly detection, and automated metric computation supporting leadership insights on community operations.
- Developed analytics data models and standardized metric definitions to enable consistent analysis of 15+ sentiment and operational metrics across survey programs, enhancing data-driven decision-making.
- Developed and maintained Amazon QuickSight analytics solutions, including dashboards, semantic layers (QuickSight Topics), and AI-assisted workflows, enabling 100+ stakeholders to analyze community sentiment datasets. Created SOP and prompt library supporting automated insight generation across four datasets, facilitating natural-language exploration without requiring SQL.
- Implemented Python-based data quality validation and metadata governance frameworks, enhancing dataset completeness and minimizing reporting inconsistencies.
- Optimized Redshift queries and warehouse architecture, improving dashboard performance and query execution by ~40%.
- Collaborated with cross-functional stakeholders to standardize survey instrumentation, improving data quality and consistency across survey programs.
Software Engineer
Tata Consultancy Services
Windsor, CT
10.2019 - 04.2021
- Work directly with key stakeholders to plan and execute strategies resulting in reduction of sprint cycles by 50% and led sprint reviews and daily scrum meetings to ensure delivery timelines and strong adherence to agile practices.
- Conducted reporting and visualization using Python in Agile environment, initiated solutions utilizing machine learning algorithms to enhance data insights.
- Developed ETL pipelines and analyzed data for over 100 applications monthly, performing data masking and executing complex analytical queries in MSSQL and Oracle.
Research and Development Engineer
Phillips Respironics
Monroeville, PA
06.2019 - 12.2019
- Developed feature selection techniques for LSTM models applied to sleep time-series datasets, reducing 2,700 features to 30 key predictors and improving model accuracy by 10% using TensorFlow and Keras.
- Designed a vote-based feature selection algorithm reducing dimensionality by 90% and decreasing model training time by 50%, improving computational efficiency for deep learning model development.
- Collaborated with cross-functional research teams to share insights on model performance, streamlining experimentation cycles.
Summer Intern, Data Scientist
University of Pittsburgh, School of Medicine, Dept of Emergency Medicine
Pittsburgh, PA
05.2018 - 07.2018
- Developed deep learning classification model using smartphone sensor data to detect alcohol impairment, achieving 85% validation accuracy and contributing to advancements in behavioral health detection technologies.
- Presented research on 'SafeLink-Using Phone Sensor Data to Detect Alcohol Impairment' at the 4th Integrative Conference on Technology, Social Media & Behavioral Health as one of the top 6 applicants out of 120.
- Https://www.youtube.com/watch?v=M9lNmqwtUXg&t=96s
Automation Test Engineer
Schneider Electric
Bangalore, INDIA
12.2015 - 07.2017
- Developed Python and Selenium automation frameworks to enhance testing of cloud-based analytics dashboards.
- Enhanced regression testing efficiency by 33% through development of reusable automation frameworks.
- Reduced manual testing workload, resulting in €2K cost savings per sprint cycle.
Education
Master of Science - Information Science
University of Pittsburgh, School of Computing and Information Sciences
Pittsburgh08-2019
B. Tech - Electrical and Electronics Engineering
Manipal Institute of Technology
India05-2015
Skills
- SQL and data modeling
- ETL and ELT processes
- Data quality validation
- AWS services (S3, Glue, Lambda, Step Functions, Redshift)
- Amazon QuickSight and Tableau
- Data lakes and Spark
- Metrics frameworks
- Metadata governance
- PySpark and Python
- Pandas and NumPy libraries
- Scikit-learn and TensorFlow frameworks
- Keras library
- R and RShiny
- Predictive modeling techniques
- Cloud development kit
Certification and Professional Development
Artificial Intelligence: Implications for Business Strategy, MIT Sloan School of Management: 6 week online course, 08/2025 -09/2025
Timeline
Business Intelligence Engineer II
Amazon Inc.
05.2021 - Current
Software Engineer
Tata Consultancy Services
10.2019 - 04.2021
Research and Development Engineer
Phillips Respironics
06.2019 - 12.2019
Summer Intern, Data Scientist
University of Pittsburgh, School of Medicine, Dept of Emergency Medicine
05.2018 - 07.2018
Automation Test Engineer
Schneider Electric
12.2015 - 07.2017
Master of Science - Information Science
University of Pittsburgh, School of Computing and Information Sciences
B. Tech - Electrical and Electronics Engineering
Manipal Institute of Technology