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Vaishnavi Dhaytadak

@vaishnavidhaytadak

Message

Data Engineer specializing in SQL, Python, and scalable ETL pipelines across AWS and Azure.

India

Message

What I'm looking for

I want to build reliable, scalable data pipelines and data warehousing solutions using SQL, Python, Spark, and cloud platforms—delivering clean, validated datasets with automation, strong performance, and stakeholder-ready outcomes.

I’m a Data Engineer currently working in India, where I design scalable ETL pipelines using PySpark and Spark SQL and build robust data ingestion with AWS S3. I focus on validation and transformation so downstream analytics can trust the data.

I develop Hive queries and optimize SQL for large datasets, while automating workflows with Apache Airflow. I also implement Python-based data quality validation and migrate data using Sqoop into HDFS and Hive.

I enjoy collaborating with business stakeholders to deliver analytics-ready datasets and continuously improving performance, reliability, and data quality across my pipelines and warehousing workloads on cloud platforms like AWS and Azure.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Accenture

Oct 2022 - Present (3 years 9 months)

Designed scalable ETL pipelines using PySpark and Spark SQL. Built AWS S3 ingestion pipelines with validation and transformation, automated workflows with Apache Airflow, and migrated data using Sqoop into HDFS and Hive.