Sukanya Vidhathri Thandra
Edison,NJ
Summary
Data Engineer with 5 years of experience building and maintaining data pipelines using Python, SQL, PostgreSQL, and relational databases. Skilled in data extraction, transformation, validation, and ETL/ELT workflows to support reporting and analytics needs. Experienced in creating structured datasets, tables, and views, optimizing SQL queries, and documenting data processes for maintainability and scalability. Strong communicator with a collaborative mindset and a passion for delivering reliable, high-quality data solutions.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Engineer
Wizard Tech Solutions Inc
Piscataway, New Jersey
03.2026 - Current
- Design, build, and maintain scalable data pipelines to collect, process, and store structured and unstructured data.
- Develop and optimize ETL/ELT workflows using SQL, Python, and cloud-based data services.
- Perform data validation, monitoring, and error handling to ensure data quality, integrity, and reliability.
- Support cloud-based data engineering solutions across AWS, Azure, or GCP environments.
- Optimize database performance and query efficiency for reporting and analytics use cases.
- Automate data workflows and contribute to CI/CD-oriented data engineering processes.
- Document data models, technical designs, and workflow processes to support maintainability and knowledge sharing.
IT Team Lead / Data Engineer
Help Us Grow(H.U.G)
Florida City, Florida
09.2025 - 02.2026
- Developed and maintained Python- and SQL-based data workflows supporting student performance and tutor engagement reporting across 15+ KPIs.
- Authored and optimized SQL queries in PostgreSQL to extract, transform, and validate data from multiple relational tables.
- Built and maintained structured datasets, tables, and views to support scalable reporting and downstream analytics.
- Performed data quality checks and validation processes to ensure data accuracy, completeness, and consistency.
- Standardized data models and workflow processes, reducing reporting turnaround time by 40% and improving repeatability.
- Documented data sources, transformation logic, and execution procedures to support maintainability and knowledge transfer.
- Collaborated with directors and program leads to translate business needs into reliable, analytics-ready data solutions.
Cloud, DevOps, Data & AI Intern
Quadrant Technologies
Seattle, Washington
06.2025 - 08.2025
- Supported SQL-driven data pipelines for reporting and operational analytics across 20+ business KPIs.
- Authored and optimized SQL scripts and transformation logic, improving query performance and processing efficiency by 30–40%.
- Prepared analytics-ready datasets from 500K+ records through structured extraction, transformation, and validation workflows.
- Contributed to cloud-based data movement and reporting processes across AWS and Azure environments.
- Created technical documentation and SOPs for data processing workflows, improving onboarding efficiency by 40%.
- Collaborated with engineering teams to validate business logic, troubleshoot discrepancies, and improve pipeline reliability.
Data Analyst
Saint Louis University
Saint Louis, MO
09.2023 - 04.2025
- Analyzed student engagement and digital platform usage data to support academic and operational decision-making.
- Built SQL queries and structured datasets to support academic and operational reporting needs.
- Cleaned, transformed, and validated datasets for instructors and research teams to improve usability and consistency.
- Standardized reporting inputs and supported internal dashboard workflows through well-organized data preparation.
- Documented data preparation logic and reporting processes to improve clarity, repeatability, and maintainability.
Application Developer/Data Analyst
Accenture
Bangalore, Karnataka
02.2022 - 08.2023
- Developed and optimized SQL queries supporting client reporting systems across 20+ recurring reports.
- Supported ETL workflows processing large datasets, maintaining 99%+ data accuracy across refresh cycles.
- Designed relational data models and transformation logic to improve reporting performance and reduce refresh time by 25–35%.
- Collaborated with analysts and stakeholders to gather requirements and prepare structured datasets for analytics use.
- Documented data flows, transformation logic, and system processes to support long-term maintainability.
- Troubleshot data pipeline inconsistencies and reduced post-deployment issues by approximately 30%.
Education
Master of Science - Information Systems
Saint Louis University
St. Louis, MO05.2025
Skills
- Programming & Data Processing: Python, Pandas, NumPy, SQL, Data Extraction, Data Transformation, Data Validation, Exploratory Data Analysis
- Databases: PostgreSQL, MySQL, SQL Server, Amazon Redshift, Snowflake, Relational Databases
- Data Pipelines & ETL: ETL/ELT Workflows, Data Ingestion, Structured Datasets, Tables, Views, Relational Data Modeling
- Testing & Quality: Data Validation, Unit Testing, Integration Testing, Troubleshooting, Performance Optimization
- Cloud Platforms: AWS (S3, Redshift, Athena, QuickSight), Azure (Data Lake, Blob Storage, Azure Synapse)
- Visualization & Reporting: Power BI, Tableau, AWS QuickSight, Excel, Matplotlib, Seaborn
- Tools & Collaboration: Git, GitHub, Requirements Gathering, Stakeholder Communication, Technical Documentation, Process Documentation
Certification
Microsoft Azure Fundamentals (AZ-900)
Timeline
Data Engineer
Wizard Tech Solutions Inc
03.2026 - Current
IT Team Lead / Data Engineer
Help Us Grow(H.U.G)
09.2025 - 02.2026
Cloud, DevOps, Data & AI Intern
Quadrant Technologies
06.2025 - 08.2025
Data Analyst
Saint Louis University
09.2023 - 04.2025
Application Developer/Data Analyst
Accenture
02.2022 - 08.2023
Master of Science - Information Systems
Saint Louis University