Nandini Wadaskar

Data Engineer | Expertise in Scalable Data Solutions, Automation, and Analytics

As a results-driven Data Engineer, I specialize in designing efficient ETL pipelines, automating workflows, and delivering actionable insights with tools like SQL, Python, PySpark, and advanced data engineering frameworks. My work empowers businesses to maximize data value while enhancing decision-making processes.

Professional Highlights:

• Data Integration: Led large-scale data migrations with tools like Alteryx, SSMS, and Azure SQL, ensuring accuracy and governance.

• Workflow Automation: Reduced processing times by 70% through Python-based automation, boosting departmental efficiency.

• Scalable Pipelines: Built robust pipelines with JAMS, Databricks, and Azure Data Factory, enabling seamless data transformation.

• Data Visualization: Designed dashboards with Power BI, Tableau, and Looker, enhancing data accessibility and improving decisions by 80%.

Technical Skills:

• Data Engineering: Snowflake, DBT, Databricks, Azure, AWS, Airflow, SparkSQL, PySpark

• Visualization: Power BI, Tableau, Looker, QuickSight

• Automation & Scripting: Python, SQL, Alteryx, Bash

• Other Tools: Docker, Streamlit, GitHub, Soda

Key Projects:

• Credit Automation (SQL-Python): Developed a credit tracking system, reducing financial errors by 75%.

• Govt ID ML Project: Built a computer vision solution to extract Aadhaar card data using YOLO v8, OCR, and GCP Vertex AI.

• YouTube Trends Pipeline: Analyzed trends using AWS Glue, Athena, and QuickSight, showcasing expertise in cloud data engineering.

• Warehousing Model (Python): Created a pricing strategy optimizing warehouse profitability via cubic foot analysis.