Vaishnavi Mandadi
Denton
Summary
Data Analyst with 4+ years of experience in SQL, data transformation, and business intelligence tools (Tableau, Delta Lake, Looker). Proficient in creating actionable datasets and building dashboards to support decision-making. Experienced in collaborating with cross-functional teams and ensuring data accuracy for critical business insights. Adept at leveraging cloud platforms like Azure, AWS, and GCP to optimize data workflows, and skilled in machine learning applications for data-driven insights.
Overview
5
5
years of professional experience
Work History
Data Engineer
General Motors
Detroit
07.2022 - Current
- Designed and implemented a layered solution architecture for efficient data processing, including data ingestion, acquisition, and reporting.
- Developed robust datasets and data pipelines using PySpark and Spark-SQL to process daily terabytes of data.
- Leveraged Azure Databricks, Azure Data Lake, and Delta Lake to optimize data transformation and ensure accuracy in reporting.
- Collaborated with engineers to refine data sources and stakeholders to align reporting capabilities with business objectives.
- Developed and automated ETL workflows using Azure Data Factory and Logic Apps to streamline data integration processes.
- Created interactive dashboards with Power BI to visualize key performance indicators (KPIs), delivering actionable insights to senior management.
Data Engineer
Syniverse
09.2019 - 12.2021
- Designed and implemented data pipelines in Azure (Delta Lake, Data Warehouse) to ingest and transform data from diverse sources for reporting and analytics.
- Automated data validation and monitoring processes using Python and Airflow, ensuring data quality and reliability.
- Developed and published Power BI dashboards with row-level security, enabling secure and tailored access for stakeholders.
- Utilized Spark and Scala for high-performance data processing, optimizing workflows for real-time analytics with Kafka and Spark Streaming.
- Collaborated with cross-functional teams to define ETL best practices and improve the scalability of existing pipelines.
- Implemented Kubernetes-based container orchestration solutions for microservices, ensuring high availability and fault tolerance.
Education
Master of Science - Computer Science
University of North Texas
Denton, TX12-2023
Skills
- Performance Tuning
- Metadata Management
- Hadoop Ecosystem
- Data Governance
- Data Warehousing
- Data Security
- Real-Time Data Processing
- Scalable Data Pipelines
Timeline
Data Engineer
General Motors
07.2022 - Current
Data Engineer
Syniverse
09.2019 - 12.2021
Master of Science - Computer Science
University of North Texas