Aishwarya Dhorde

Data engineer with 4+ years of experience specializing in Big Data technologies such as Apache Spark, PySpark, Python, SQL, Databricks, and AWS. Expert in designing and optimizing scalable ETL pipelines, automating data ingestion to S3 and Snowflake, and enhancing Spark job performance. Demonstrated success in data validation, cleansing, and migration projects for clients including Roche and LPL, leading to significant performance improvements and improved data accessibility.

Adept at leveraging cloud and big data solutions to drive efficient, impactful business outcomes in dynamic environments.

Data Engineer - EXL

(2026-03 - 2026-06)

• Executed end-to-end testing of the 360 Lite insurance application validating customer, policy, and product data across multiple modules.
• Performed data validation, reconciliation, and analysis using SQL and Databricks to ensure data accuracy and consistency.
• Conducted functional, regression, and data quality testing and identified and documented defects for timely resolution with development teams.
• Developed and maintained detailed test cases, test scenarios, and defect reports to support User Acceptance Testing (UAT) processes.
• Verified Health Insurance and Wealth Insurance modules to ensure alignment with business requirements and data quality standards.

Data Engineer - ZS

(2025-10 - 2026-01)

• Completed hands-on training in Databricks, PySpark, and SQL.
• Developed and implemented sample ETL workflows and data transformation pipelines using PySpark and Databricks.
• Gained foundational knowledge in data warehousing concepts and applied database optimization techniques.
• Collaborated in knowledge-sharing sessions and authored technical documentation for training assignments.

Data Engineer - Intelcubes Incorporated Solution

(2022-02 - 2025-09)

• Developed and maintained scalable ETL pipelines on AWS, optimizing data processing workflows to increase operational efficiency.
• Engineered automated ETL solutions integrating Oracle and MySQL databases for fuel card transaction data to enhance data accuracy and accessibility.
• Designed and implemented data validation and cleansing procedures to handle duplicates and null values, improving overall data integrity.
• Leveraged AWS services including S3, EC2, Glue, Lambda and EMR to enable seamless data management and integration across projects.
• Improved Spark application performance by 20% through Spark SQL and Spark Streaming optimizations.
• Implemented Snowflake-based data warehousing solutions and developed ELT pipelines to support scalable analytics and reporting.

MCA - Computers - SAVITRIBAI PHULE PUNE UNIVERSITY (2023)

B.C.A. - Computer Applications (General) - SAVITRIBAI PHULE PUNE UNIVERSITY (2021)